Running pattern detector against the corpus
The dataset shows entities that received substantial federal funding then ceased appearing in the corpus — flagging recipients that went silent after the money flowed.
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 total (original commitments, is_amendment = false) ≥ p90 of recipient totals within the recipient's primary department AND ≥ $500K floor · last agreement_start_date < as-of − 36 months, as-of = MAX(agreement_start_date) ≤ CURRENT_DATE · signal = years silent
The dataset shows Acadia University - Acadia University (BN 106681893) received $563,692 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
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.
Cross-reference the recipient legal name with the relevant federal/provincial corporate registry. An active corporate status with no recent grant activity may indicate program completion (normal); a dissolved or in-default status with prior public funding warrants review.
If the recipient is a registered charity (CRA-registered), pull the most recent T3010 filing date. A gap exceeding 18 months is a regulatory issue independent of the federal-funding silence.
Did the funded program complete? Was the final report submitted? Were funds returned, if applicable? Silence in the corpus is not evidence of incompletion, but it is the signal to verify.
Some zombies are just program endings; others are entity disappearances after public money flowed. Close the match with reasoning, or move to active monitoring if outcomes are unclear.
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 Brampton Multicultural Community Centre (BN 106805948RT0001) received $18,247,237 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Healthism Systems Inc. (BN 835305806) received $586,232 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Toronto Catholic District School Board (BN 107694119RT0001) received $18,223,432 across 5 federal agreements from 2 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Multicultural Association of Fredericton Inc. (MCAF) (BN 887401669RT0001) received $18,144,423 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows NexTerra Systems Corp. (BN 890025505) received $579,952 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Lendesk Technologies ULC (BN 825639040) received $579,348 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows YMCA of Greater Saint John (BN 119253086RT0001) received $18,046,911 across 9 federal agreements from 2 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Nanoose First Nation l Nanoose First Nation (BN 122646672) received $1,153,555 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Fisheries and Oceans Canada | Pêches et Océans Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Esquimalt Nation l Esquimalt Nation (BN 10730856R) received $1,140,918 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Fisheries and Oceans Canada | Pêches et Océans Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Innu Takuaikan Uashat mak Mani-Utenam (BN 142092022) received $4,314,669 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Public Safety Canada | Sécurité publique Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Thames Valley District School Board (BN 870182839RT0001) received $17,456,183 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows ORA GRAPHENE AUDIO Inc. (BN 715472528) received $555,640 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Island Water Technologies Inc (BN 842007437) received $555,422 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Avrij Inc. (BN 750307720) received $553,327 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Colleges Ontario (BN 123639569RT0001) received $17,080,055 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Dehcho First Nations I Dehcho First Nations (BN 136715752) received $1,109,300 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Fisheries and Oceans Canada | Pêches et Océans Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Sensei Labs Inc. (BN 728602483) received $545,361 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Formation Biologics Inc (BN 820342111) received $530,584 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Rapid-Span Structures Ltd. (BN 104402078) received $1,036,000 across 2 federal agreements from 2 departments — above the 90th percentile of recipients funded by Western Economic Diversification Canada | Diversification de l'économie de l'Ouest Canada — with the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Bartels, Susan A (BN 107868705) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Monaghan, Jacqueline (BN 107868705) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows von Hlatky, Stefanie (BN 107868705) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Brown, David P (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Cummine, Jacqueline R. (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Jackson, Jesse C (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Jickling, Glen GCJ (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Kong, Linglong (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Ospina, Maria B (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Taylor, Anna MW (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Tsai, Sue (BN 108102831) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Schnitzer, Mireille E (BN 108160995) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Lebel, Karina (BN 108161076) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Bungay, Victoria A (BN 108161779) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Wegener Parfrey, Laura LWP (BN 108161779) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Burchell, Ann N (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Campbell, Kieran (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Donmez, Birsen (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Forman, Lisa (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Hooshyar, Ali AH (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Jackson, Hartland W (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Malik, Vasanti S (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Moses, Alan M (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows O'Brien, Catherine Adell (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Reed, Nicholas (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Roorda, Matthew J (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Rosella, Laura C (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Saxe, Shoshanna (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Thavendiranathan, Paaladinesh (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Voineskos, Aristotle N (BN 108162330) received $500,000 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 the most recent agreement dated 2020-04-01: 6.4 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.