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 NAK'AZDLI WHUT'EN (Fort St. James | Fort St. James, BC) received $122M across 11 federal agreements from 4 departments — 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).
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 KINISTIN SAULTEAUX NATION (TISDALE | TISDALE, SK) received $121M across 16 federal agreements from 4 departments — 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 METIS NATION OF SASKATCHEWAN (SASKATOON | SASKATOON, SK) received $121M across 11 federal agreements from 3 departments — 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 Memorial University of Newfoundland (St John | St John, ON) received $119M across 62 federal agreements from 11 departments — 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 MILLBROOK BAND COUNCIL (TRURO, NS) received $119M across 6 federal agreements from 3 departments — 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 University of Victoria (Victoria | Victoria, ON) received $118M across 70 federal agreements from 14 departments — 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 KATIVIK REGIONAL GOVERNMENT (KUUJJUAQ, QC) received $118M across 9 federal agreements from 3 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 Collège Boréal (Windsor, ON) received $117M across 95 federal agreements from 5 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 DIVERSEcity Community Resources Society (Surrey, BC|Surrey, CB, BC) received $114M across 29 federal agreements from 4 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 NASKAPI NATION OF KAWAWACHIKAMACH (Kawawachikamach, Quebec|Kawawachikamach, Québec, QC) received $114M across 30 federal agreements from 6 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 Association for New Canadians (St. John’s, PE) received $114M across 75 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).
The dataset shows SOUTHERN FIRST NATIONS SECRETARIAT (Bothwell, Ontario|Bothwell ,Ontario, ON) received $114M across 6 federal agreements from 3 departments — 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 Memorial University of Newfoundland|Memorial University of Newfoundland (St-John|St-Jean, NL) received $114M across 202 federal agreements from 4 departments — 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 TSILHQOT'IN NATIONAL GOVERNMENT (WILLIAMS LAKE | WILLIAMS LAKE, BC) received $114M across 49 federal agreements from 6 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 WHITEFISH RIVER FIRST NATION (Birch Island, Ontario, ON) received $113M across 6 federal agreements from 4 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 ATHABASCA CHIPEWYAN FIRST NATION (FORT MCMURRAY | FORT MCMURRAY, AB) received $112M across 44 federal agreements from 7 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 SNUNEYMUXW FIRST NATION (NANAIMO | NANAIMO, BC) received $112M across 28 federal agreements from 5 departments — 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 PEIGAN BOARD OF EDUCATION SOCIETY (Brocket | Brocket, AB) received $111M across 15 federal agreements from 3 departments — 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).