Running pattern detector against the corpus
The dataset shows entities receiving substantial federal funding with no recorded business identity — recipients the federal government cannot independently identify.
Glassbox surfaces correlations and observations, not findings of misconduct. Severity is a calibrated read on how strongly the dataset matches the pattern definition — a starting point for review, not a verdict.
The match meets the pattern threshold but the signal is the lower band. Normal review queue.
The match exceeds the routine threshold. Worth a closer look — pull the source rows, walk the citation.
The match is in the highest band of the calibrated scale. Recommend: prioritise for active review.
Severity is computed from the detection signal · recipient_business_number IS NULL or a placeholder ('0', all-zeros, '-', 'n/a', 'none') · is_amendment = false · total ≥ p90 of ALL recipient totals within the recipient's primary department AND ≥ $500K floor · publisher batch-report rows excluded · signal = total $
The dataset shows Keyano College (Fort McMurray | Fort McMurray, AB) received $24M across 16 federal agreements from 3 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
Once a match is identified, the dataset suggests these review actions. Glassbox does not prescribe outcomes — these are calibrated options for funders, auditors, and program officers, framed as correlations to investigate.
An entity receiving substantial federal funds without a recorded business number is identifiable only by name string. Verify identity by mapping to corporate / charity registries and adding the BN to the funder's master record.
TRACE's original definition of ghost capacity covers entities with no employees, no addresses, and revenue dominated by government transfers. For these matches, verify capacity (audited financials, employee count, physical presence) before further awards.
What did the entity actually produce for the funding? Pull deliverable reports, site visits, third-party verification. Ghost-capacity is a capacity question, not a fraud claim.
Many matches here are data-entry omissions (BN simply not recorded) rather than substantive ghost capacity. Use this list to clean up master records and tighten future intake.
These are calibrated suggestions, not directives. The dataset shows the pattern; the funder decides the response.
Aggregated from the matches below. Severity bands are calibrated per pattern; counts and dollar totals reflect this snapshot only.
The dataset shows L'Agence des Nations Unies pour les réfugiés (Geneva) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows ALBERTA INNOVATES - H. S., . (., ON) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Crudden, Cathleen-Queen's University (KINGSTON, ON) received $24M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Schuurmans, Carol-Sunnybrook Research Institute (TORONTO, ON) received $24M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Alberta Health (Edmonton, AB) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Health Canada | Santé Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Montréal International | Montréal International (Montréal, QC) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Canada Economic Development for Quebec Regions | Développement économique Canada pour les régions du Québec — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Calgary Immigrant Women’s Association (Calgary, AB) received $24M across 38 federal agreements from 2 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Union of Ontario Indians (North Bay, ON) received $24M across 12 federal agreements from 6 departments — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows TUGLIQ ENERGY CO. (QUEBEC CITY QUEBEC|VILLE DE QUÉBEC QUÉBEC) received $24M across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Ontario / Ontario (Waterloo, ON) received $24M across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Public Safety Canada | Sécurité publique Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Corporation of the City of Thunder Bay | Corporation de la Ville de Thunder Bay (Thunder Bay | Thunder Bay, ON) received $24M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Department of Housing, Infrastructure and Communities | Ministère du Logement, de l’Infrastructure et des Collectivités — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows MASSON HYDROGEN LIMITED PARTNERSHIP (GATINEAU | GATINEAU, QC) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows GO Transit|GO Transit (Mississauga, Ontario|Mississauga (Ontario)) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Hebert, Paul-University of Guelph (GUELPH, ON) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Keshavjee, Shaf-University Health Network (TORONTO, ON) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Madden, John-The University of British Columbia (VANCOUVER, BC) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Menon, Ravi-Western University (The University of Western Ontario) (LONDON, ON) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Parlee, Brenda-University of Alberta (EDMONTON, AB) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows icddr,b (Dhaka | Dhaka) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows IMF – International Monetary Fund (Washington | Washington) received $24M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Halifax Regional Municipality|Municipalité régionale de Halifax (Halifax, Nova Scotia|Halifax, Nouvelle-Écosse, NS) received $24M across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Folk Arts Council of St. Catharines (St. Catharines, ON) received $24M across 19 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows GREENFIELD GLOBAL INC. (MISSISSAUGA | MISSISSAUGA, ON) received $24M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows International Organisation of La Francophonie (Paris | Paris) received $24M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows SIMON FRASER UNIVERSITY (VANCOUVER | VANCOUVER, BC) received $24M across 63 federal agreements from 8 departments — above the 90th percentile of recipients funded by Environment and Climate Change Canada | Environnement et Changement climatique Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows First Nations Employment Society (Vancouver, BC) received $24M across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Bénard, François-The University of British Columbia (VANCOUVER, BC) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows ASSIST Community Services Centre (Edmonton, AB, AB) received $24M across 16 federal agreements from 2 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows School District No. 38 (Richmond) (Richmond, BC|Richmond, CB, BC) received $24M across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows University of Calgary|Université de Calgary (Calgary|Calgary, QC) received $24M across 38 federal agreements from 5 departments — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Anis, Aslam H (Vancouver, BC) received $24M across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows EQUINE CANADA HIPPIQUE (Ottawa | Ottawa, ON) received $24M across 58 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Heritage | Patrimoine canadien — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Ministry of Municipal Affairs and Housing | Ministry of Municipal Affairs and Housing (Toronto | Toronto, ON) received $24M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Public Health Agency of Canada | Agence de la santé publique du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows UNIVERSITY OF BRITISH COLUMBIA (VANCOUVER | VANCOUVER, BC) received $24M across 68 federal agreements from 7 departments — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Laflamme, Michael-University Health Network (TORONTO, ON) received $24M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Norwegian Refugee Council (PRINSENSGATE 2) received $24M across 21 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Nova Scotia Department of Agriculture (Halifax, NS) received $24M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Six Nations Police Commission (Ohsweken, Ontario) received $24M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Public Safety Canada | Sécurité publique Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows PERMOLEX LTD. (Red Deer, Alberta) received $24M across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows NATO New Headquarters (Brussels|Bruxelles) received $24M across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows BASELOAD POWER CORP. (TORONTO | TORONTO, ON) received $24M across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Centre Francophone de Toronto (Toronto, ON) received $24M across 17 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows FORTIER, Louis L (Québec, QC) received $23M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows The Province of New Brunswick|La province du Nouveau-Brunswick (FREDERICTON|FREDERICTON, NB) received $23M across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows St. Stephen's Community House (Toronto, ON, ON) received $23M across 18 federal agreements from 2 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows CANADIAN SPORT CENTRE - CALGARY (Calgary, Alberta) received $23M across 13 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Heritage | Patrimoine canadien — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows Manitoba Public Insurance Corporation|Société d'assurance publique du Manitoba (WINNIPEG|WINNIPEG, MB) received $23M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows l’Association multiculturelle de Fredericton Inc. (AMCF) (Fredericton, NB, NB) received $23M across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).
The dataset shows ADDÉNERGIE TECHNOLOGIES INC. (QUEBEC QUEBEC|QUÉBEC QUÉBEC) received $23M across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with no recipient business number recorded; pattern consistent with ghost capacity (entity not independently identifiable in the federal corpus).
Why this may be benign · Identity rests on the legal name alone (no business number); spelling variants can split one entity into several or merge homonyms (KNOWN-DATA-ISSUES F-6, C-3).