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 CONNORS, Joseph received $5,000,000 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 2013-04-01: 13.4 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 COSSETTE, Patrick received $5,000,000 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 2013-04-01: 13.4 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 RIOUX, John D received $4,983,126 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 2013-04-01: 13.4 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 PENN, Andrew M received $4,878,969 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 2013-04-01: 13.4 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 ROSSANT, Janet received $4,396,780 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 2013-04-01: 13.4 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 MICHELAKIS, Evangelos D received $4,185,606 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 2013-04-01: 13.4 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 JABADO, Nada received $4,043,489 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 2013-04-01: 13.4 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 TEO, Koon K received $4,000,087 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 2013-04-01: 13.4 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 ARROWSMITH, Cheryl H received $3,766,046 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 2013-04-01: 13.4 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 HARRIGAN, Richard P received $3,136,736 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 2013-04-01: 13.4 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 MILLER, Freda D received $3,080,945 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 2013-04-01: 13.4 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 STINTZI, Alain received $2,949,370 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 2013-04-01: 13.4 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 WODCHIS, Walter P received $2,849,629 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 2013-04-01: 13.4 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 MADRENAS, Joaquin received $2,741,685 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 2013-04-01: 13.4 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 HARRIS, Stewart B received $2,500,000 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 2013-04-01: 13.4 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 HOBMAN, Tom C received $2,500,500 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 2013-04-01: 13.4 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 PLOEG, Jenny received $2,500,000 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 2013-04-01: 13.4 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 STEWART, Moira A received $2,500,000 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 2013-04-01: 13.4 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 GRUNFELD, Eva received $2,476,364 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 2013-04-01: 13.4 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 AUDAS, Richard P received $2,462,424 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 2013-04-01: 13.4 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 YOUNG, Kue received $2,455,600 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 2013-04-01: 13.4 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 DROUIN, Jacques received $2,438,260 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 2013-04-01: 13.4 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 ZEMEK, Roger received $2,388,235 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 2013-04-01: 13.4 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 TYERS, Michael D received $2,379,535 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 2013-04-01: 13.4 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 MCCABE, Christopher received $2,298,634 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 2013-04-01: 13.4 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 CASHMAN, Neil R received $2,277,054 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 2013-04-01: 13.4 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 HOODLESS, Pamela A received $2,262,730 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 2013-04-01: 13.4 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 WAISMAN, David M received $2,201,872 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 2013-04-01: 13.4 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 CRAIG, Ann Marie received $2,123,425 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 2013-04-01: 13.4 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 DUTZ, Jan P received $2,096,315 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 2013-04-01: 13.4 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 VERREAULT, Alain received $2,040,410 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 2013-04-01: 13.4 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 KMITA, Marie T received $2,031,586 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 2013-04-01: 13.4 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 COWEN, Leah E received $1,984,770 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 2013-04-01: 13.4 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 VOISINE, Pierre received $1,955,070 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 2013-04-01: 13.4 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 CONROD, Patricia received $1,905,906 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 2013-04-01: 13.4 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 BUSCHMANN, Michael D received $1,901,651 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 2013-04-01: 13.4 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 GEHRING, Kalle B received $1,788,014 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 2013-04-01: 13.4 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 GÖTTE, Matthias received $1,759,430 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 2013-04-01: 13.4 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 CUELLO, A. Claudio G received $1,741,911 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 2013-04-01: 13.4 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 MATTHEWS, Stephen G received $1,709,595 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 2013-04-01: 13.4 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 LACAILLE, Jean-Claude received $1,688,940 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 2013-04-01: 13.4 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 TANENTZAPF, Guy received $1,685,615 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 2013-04-01: 13.4 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 XING, Zhou received $1,684,323 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 2013-04-01: 13.4 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 GULF NOVA SCOTIA FISHERMEN'S COALITION received $4,754,780 across 7 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 2013-04-04: 13.4 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 LFA 26A RESTRUCTURING INC. received $18,595,090 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 2013-04-04: 13.4 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 Moncton Youth Residences Inc. received $1,136,111 across 13 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 2013-04-04: 13.4 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 CBDC Restigouche Inc. received $3,607,480 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 2013-04-05: 13.4 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 HOPE Bridge Services Ltd. received $544,317 across 2 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 2013-04-05: 13.4 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 Operation Springboard received $5,488,501 across 13 federal agreements from 2 departments — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2013-04-08: 13.4 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 Sentier Urbain received $940,886 across 9 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 2013-04-08: 13.4 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).