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 CUMBERLAND HOUSE CREE NATION BAND (CUMBERLAND HOUSE, SK) received $745M across 12 federal agreements from 2 departments — above the 90th percentile of recipients funded by Crown-Indigenous Relations and Northern Affairs Canada | Relations Couronne-Autochtones et Affaires du Nord 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 Manitoba Health, Seniors and Active Living (Winnipeg, MB) received $743M across 12 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 Ontario Ministry of Transportation | Ministère des Transports de l'Ontario (City of Toronto | Ville de Toronto, ON) received $720M across 3 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows 1000511515 Ontario Inc. (St. Thomas, ON) received $700M across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Innovation, Science and Economic Development Canada | Innovation, Sciences et Développement économique 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 Government of British Columbia - Ministry of Health (Victoria, BC) received $695M across 7 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows IFAD - International Fund for Agricultural Development (Rome | Rome) received $682M across 5 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 Government of New Brunswick|Gouvernement du Nouveau-Brunswick (Fredericton, New Brunswick|Fredericton, Nouveau-Brunswick, NB) received $681M across 3 federal agreements from 2 departments — 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows Government of Nunavut | Gouvernement du Nunavut (n/a, NU) received $668M across 5 federal agreements from 2 departments — 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows NATIONAL ABORIGINAL CAPITAL CORPORATIONS ASSOCIATION (OTTAWA, ON) received $667M across 7 federal agreements from 1 department — above the 90th percentile of recipients funded by Indigenous Services Canada | Services aux Autochtones 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 Green Climate Fund (Incheon | Incheon) received $662M across 5 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 Government of New Brunswick - Department of Health (Fredericton, NB) received $655M across 11 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows GOUVERNEMENT DU NOUVEAU-BRUNSWICK / GOVERNMENT OF NEW BRUNSWICK (Fredericton, New Brunswick|Fredericton, Nouveau-Brunswick, NB) received $638M across 110 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows City of Toronto and the Regional Municipality of York|Ville de Toronto et Municipalité Régionale de York (Toronto and York, Ontario|Toronto et York (Ontario)) received $622M 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 ENBRIDGE GAS INC (CHATHAM | CHATHAM, ON) received $613M 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 Saskatchewan Ministry of Agriculture (Regina, SK) received $601M across 4 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows City of Ottawa|Ville d’Ottawa (Ottawa, Ontario|Ottawa (Ontario)) received $600M 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 Alberta (Edmonton, AB) received $585M across 4 federal agreements from 2 departments — 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 ONTARIO MINISTRY OF THE ATTORNEY GENERAL | MINISTÈRE DU PROCUREUR GÉNÉRAL DE L'ONTARIO (Toronto | Toronto, ON) received $573M across 7 federal agreements from 1 department — above the 90th percentile of recipients funded by Department of Justice Canada | Ministère de la Justice 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 ONTARIO MINISTRY OF THE ATTORNEY GENERAL | MINISTÈRE DU PROCUREUR GÉNÉRAL DE L'ONTARIO (Toronto | Toronto, ON) received $573M across 7 federal agreements from 1 department — above the 90th percentile of recipients funded by Department of Justice Canada | Ministère de la Justice 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 Government of Northwest Territories|Gouvernement des Territoires du nord-ouest (Yellowknife, Northwest Territories|Yellowknife, Territoires du nord-ouest) received $571M across 1 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows Government of Yukon|Gouvernement du Yukon (Whitehorse, Yukon|Whitehorse (Yukon), YT) received $570M across 21 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 UNICEF - United Nations Children's Fund|UNICEF - Fonds des Nations Unies pour l'enfance (New York, United States|New York, États-Unis) received $569M across 64 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 Ministry Of Agriculture, Food and Rural Affairs (Guelph, ON) received $565M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Innovation, Science and Economic Development Canada | Innovation, Sciences et Développement économique 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 Government of Newfoundland and Labrador | Gouvernment de Terre-Neuve et du Labrador (various | divers, NL) received $556M across 1 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows GOVERNMENT OF QUEBEC (QUÉBEC | QUÉBEC, QC) received $555M across 3 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows WE Charity Foundation (Toronto, ON) received $544M across 1 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 MOHAWKS OF KAHNAWÁ:KE BAND (KAHNAWAKE, QC) received $527M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Indigenous Services Canada | Services aux Autochtones 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 Saskatchewan Power Corporation (Regina, SK) received $515M across 14 federal agreements from 1 department — 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 UNHCR - United Nations High Commissioner for Refugees (Geneve 2 Dépôt, Switzerland|Geneve 2 Dépôt, Suisse) received $512M across 30 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 Toronto District School Board (Toronto, ON, ON) received $505M across 89 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 United Nations Organization (New York, United States|New York, États-Unis) received $502M across 15 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 Gavi, The Vaccine Alliance (Geneva | Genève) received $500M 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 MINISTRY OF FINANCE, PROVINCE OF BRITISH COLUMBIA (Victoria | Victoria, BC) received $498M across 40 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows The City of Toronto (Various|Divers, ON) received $495M across 10 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 Quebec Ministry of Transport | Ministère des Transports du Québec (Town of Longueuil | Ville de Longueui, QC) received $487M 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows GOVERNMENT OF ALBERTA - PROVINCIAL TREASURER (Edmonton | Edmonton, AB) received $487M across 77 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 · Large statutory or formula-driven transfers (health, equalisation, infrastructure envelopes) dominate departmental totals and inflate concentration measures without any procurement decision.
The dataset shows PASQUA FIRST NATION #79 (PASQUA, SK) received $486M across 10 federal agreements from 2 departments — above the 90th percentile of recipients funded by Crown-Indigenous Relations and Northern Affairs Canada | Relations Couronne-Autochtones et Affaires du Nord 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 Organization for Migration | Organisation internationale pour les migrations (San Pedro) received $478M across 7 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 GAVI Alliance (Geveva) received $474M 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 UNITED CHIEFS & COUNCILS OF MNIDOO MNISING (M'CHIGEENG, ON) received $467M across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Crown-Indigenous Relations and Northern Affairs Canada | Relations Couronne-Autochtones et Affaires du Nord 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).