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 ZUNIGA-PFLUCKER, Juan C received $3,359,323 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
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 MAZER, David received $3,323,110 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2013-10-01: 12.9 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 SONG, Weihong received $3,313,399 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows HWANG, Stephen W received $3,296,312 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KIRSHENBAUM, Lorrie A received $2,860,950 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows DRAPEAU, Pierre received $2,827,426 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows DAVIDSON, Alan R received $2,789,820 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows GARG, Amit received $2,759,451 across 6 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KLIP, Amira received $2,534,841 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BHATIA, Mickie received $2,277,084 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows GLOVER, J. N. Mark received $2,244,851 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BEIER, Frank received $2,142,325 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows ROTIN, Daniela received $2,144,234 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows SCHUH, Suzanne received $2,137,058 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2013-10-01: 12.9 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 DALEY, Denise received $2,000,000 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KEARON, Clive received $2,000,154 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows PELLETIER, Laurence P received $1,909,495 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows OUDIT, Gavin Y received $1,865,196 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows TREMBLAY, Jacques P received $1,807,779 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows SLACK, Ruth S received $1,794,674 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BABU, Mohan received $1,777,083 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows DI NOIA, Javier M received $1,749,036 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows HÉBERT, Terence E received $1,732,955 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows LEHNER, Richard received $1,715,639 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows MOHER, David received $1,703,306 across 9 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BARTON, Jason J received $1,690,820 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows RAUGHT, Brian received $1,694,503 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows GODBOUT, Roseline received $1,688,683 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 the most recent agreement dated 2013-10-01: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Government of Alberta, Enterprise and Advanced Education received $917,600 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 the most recent agreement dated 2013-10-03: 12.9 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 INTRAFINITY INC. received $594,215 across 4 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 2013-10-03: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows STEMCELL TECHNOLOGIES INC. received $3,330,168 across 5 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 2013-10-04: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Muskoka Community Network (BN 888815016) received $5,302,081 across 13 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 the most recent agreement dated 2013-10-07: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Argus Residence for Young People received $1,386,917 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2013-10-07: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows United Nations Interim Force in Lebanon (UNIFIL) received $15,383,181 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with the most recent agreement dated 2013-10-08: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows United Nations Mission in Liberia (UNMIL) received $11,380,827 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with the most recent agreement dated 2013-10-08: 12.9 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 DELPHAX TECHNOLOGIES CANADA LIMITED received $659,828 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 2013-10-08: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Charlo Salmonid Enhancement Centre Inc.|Charlo Salmonid Enhancement Centre Inc. received $1,127,437 across 3 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 the most recent agreement dated 2013-10-08: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows STROMA SERVICE CONSULTING INC. received $525,611 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 2013-10-09: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Owen Sound Family YMCA received $1,059,285 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2013-10-15: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows People First of Ontario received $529,875 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 the most recent agreement dated 2013-10-16: 12.9 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 Tshieutin Rail Transportation Inc.|Transport ferroviaire Tshiuetin INc. received $1,890,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with the most recent agreement dated 2013-10-16: 12.9 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 CANADIAN TULIP FESTIVAL INC. (THE) / FESTIVAL CANADIEN DES TULIPES INC. (LE) received $598,600 across 8 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Heritage | Patrimoine canadien — with the most recent agreement dated 2013-10-16: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows STEELCARE INC. received $561,100 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 2013-10-16: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Southern Railway of British Columbia received $8,205,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with the most recent agreement dated 2013-10-17: 12.9 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 THE PEER GROUP INC received $639,848 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 2013-10-17: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Peel District School Board received $36,835,722 across 16 federal agreements from 2 departments — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with the most recent agreement dated 2013-10-18: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows STUDENT VOTE received $625,000 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Heritage | Patrimoine canadien — with the most recent agreement dated 2013-10-18: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Fletcher & Associates Inc. received $1,041,246 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2013-10-21: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows SURFACE MEDICAL INC. received $538,320 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 2013-10-21: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows YMCA of Kitchener-Waterloo received $31,825,576 across 16 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 2013-10-23: 12.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).