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 Wright, Nicola A (Calgary, AB) received $3M across 2 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).
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 Chelico, Linda (SASKATOON, SK) received $3M across 8 federal agreements from 2 departments — 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 Tourism Industry Association of Newfoundland and Labrador|Tourism Industry Association of Newfoundland and Labrador (St. John's|St. John's, NL) received $3M across 11 federal agreements from 1 department — above the 90th percentile of recipients funded by Atlantic Canada Opportunities Agency | Agence de promotion économique du Canada atlantique — 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 Beaulieu, Christian (EDMONTON, AB) received $3M across 4 federal agreements from 2 departments — 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 Prelco inc. (Rivière-du-Loup, Rivière-du-Loup, Bas-Saint-Laurent, QC) received $3M across 4 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 Interactive Niagara Media Cluster (Ngen) (St. Catharines, ON) received $3M 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 The University of Western Ontario | The University of Western Ontario (London | London, ON) received $3M 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 · 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 Wong, Josephine P (Toronto, ON) received $3M across 3 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 Radian6 Technologies Inc.|Radian6 Technologies Inc. (Saint John|Saint John, NB) received $3M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Atlantic Canada Opportunities Agency | Agence de promotion économique du Canada atlantique — 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 Scott, Ian C (Toronto, ON) received $3M across 5 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 Jean, Steve (SHERBROOKE, QC) received $3M across 7 federal agreements from 2 departments — 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 Noel, James (LONDON, ON) received $3M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie 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 Zhang, Dawei (EDMONTON, AB) received $3M across 5 federal agreements from 2 departments — 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 Groupe CTT inc. (Saint-Hyacinthe, Les Maskoutains, Montérégie, QC) received $3M across 9 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 Mccoy, Kathy (Calgary, AB) received $3M across 2 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 INVERNESS SOUTH FISHERMAN'S ASSOCIATION (Port Hood, Nova Scotia|Port Hood, Nouvelle-Écosse) received $3M across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Fisheries and Oceans Canada | Pêches et Océans 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 Bouchard, Danielle (Fredericton, NB) received $3M across 3 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 MEDIASMARTS / HABILOMÉDIAS (Ottawa | Ottawa, ON) received $3M across 10 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 Melichar, Heather (MONTRÉAL, QC) received $3M across 7 federal agreements from 2 departments — 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 Thompson, Graham C (Calgary, AB) received $3M across 2 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 Topisirovic, Ivan (Montreal, QC) received $3M across 3 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 JOHN HUMPHREY CENTRE FOR PEACE AND HUMAN RIGHTS (Edmonton | Edmonton, AB) received $3M across 26 federal agreements from 2 departments — 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 University Of Saskatchewan (Saskatoon, SK) received $3M across 11 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 VICTORIA NATIVE FRIENDSHIP CENTRE (Victoria | Victoria, BC) received $3M across 19 federal agreements from 2 departments — 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 Co-operative Management Board for the Torngat Mountains National Park of Canada (Nain, NL) received $3M across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Parks Canada | Parcs 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 Federation of Saskatchewan Indian Nations (Saskatoon, SK) received $3M across 3 federal agreements from 3 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 Polychronakos, Constantin (Montreal, QC) received $3M across 3 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 LIU, Peter P (Toronto, ON) received $3M across 3 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 PRESSES DE L'UNIVERSITÉ LAVAL (LES) (Québec, Quebec|Québec, Québec, QC) received $3M across 20 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 ROMAN CATHOLIC ARCHBISHOP OF VANCOUVER (THE) (Vancouver | Vancouver, BC) received $3M across 10 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 Lacroix, Steve (Québec, QC) received $3M 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 FÉDÉRATION DES MILIEUX DOCUMENTAIRES (Montréal | Montréal, QC) received $3M across 10 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 CANADIAN PARENTS FOR FRENCH, NOVA SCOTIA BRANCH (Halifax, Nova Scotia|Halifax, Nouvelle-Écosse, NS) received $3M across 9 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 HEC Montréal - HEC Montréal (MONTRÉAL, QC) received $3M across 3 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 Town of Gaspé|Ville de Gaspé (Gaspé, Quebec|Gaspé (Québec), QC) received $3M 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 Wellington, Cheryl L (Vancouver, BC) received $3M across 5 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 Petrides, Michael (MONTREAL, QC) received $3M across 3 federal agreements from 2 departments — 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 COM DEV Ltd. d/b/a Honeywell Aerospace|COM DEV Ltd. d/b/a Honeywell Aerospace (Cambridge|Cambridge, ON) received $3M across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Space Agency | Agence spatiale canadienne — 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 City of Timmins (Timmins, ON) received $3M across 2 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 Greater Vancouver Transportation Authority (TransLink) - Part A|Autorité de transport du Grand Vancouver (TransLink) - Partie A (Vancouver, British Columbia|Vancouver (Colombie-Britannique)) received $3M 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 The Greater Vancouver Transportation Authority|Autorité de transport du Grand Vancouver (Vancouver, British Columbia|Vancouver (Colombie-Britannique)) received $3M 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 Mymryk, Joseph S (London, ON) received $3M 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 Voronova, Anastassia (EDMONTON, AB) received $3M across 6 federal agreements from 3 departments — 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 9254-7009 Québec inc. (Saint-Cyprien (M), Rivière-du-Loup, Bas-Saint-Laurent, QC) received $3M 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 Vesta Social Innovation Technologies (Toronto, ON) received $3M across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Women and Gender Equality Canada | Femmes et Égalité des genres 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 Kopp, Janel (VANCOUVER, BC) received $3M across 6 federal agreements from 2 departments — 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 Miller, Matthew S (Hamilton, ON) received $3M across 7 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 PARÉ, Guillaume (Hamilton, ON) received $3M across 3 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 WHY NOT THEATRE (Toronto | Toronto, ON) received $3M across 25 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 Le Pays de la Sagouine Inc.|Le Pays de la Sagouine Inc. (Bouctouche|Bouctouche, NB) received $3M across 8 federal agreements from 1 department — above the 90th percentile of recipients funded by Atlantic Canada Opportunities Agency | Agence de promotion économique du Canada atlantique — 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).