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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Canadian Journal of Program Evaluation
Topic
Retraction
Abstract
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

892 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
892 works in the cohort · of 4,299,418page 11 of 18

Labels cover 52 of 892 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 892 of 892 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affvenueaboutunlabeled
Impacts du pirs en milieu scolaire
Marielle Simon, Catherine Turcotte, Renée Forgette-Giroux
2006· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affvenueunlabeled
Modelling Success: Articulating Program Impact Theory
Corrine D. Truman, Olive H. Triska
2001· article· en· Canadian Journal of Program Evaluation· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affvenueaboutgpt · no categorygrok · no categoryopus · metaresearchmodels split
Using Rubrics for an Evaluation: A National Research Council Pilot
Ghislaine Tremblay, Melissa Fraser, Frédèric Bertrand
2017· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+insufficient_payloadconsensus · metaresearch
1
citations
venueno affno abstractunlabeled
When we say evaluation, it isn’t the same thing
Gladys Rowe
2023· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch+insufficient_payload
1
citations
venueno affno abstractunlabeled
Epilogue — Comments on the Special Issue
Andy Rowe
2000· article· en· Canadian Journal of Program Evaluation· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affvenueaboutunlabeled
Evaluating School Improvement in Canada: A Case Example
Lorna Earl, A. Sidiq Ali, Linda E. Lee
2006· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
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