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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.

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 Perspectives on Academic Integrity
Topic
Retraction
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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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

160 results · 1 filter active ·
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20182025
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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.
160 works in the cohort · of 4,299,418page 1 of 4

Labels cover 7 of 160 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 160 of 160 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Who Wrote This?
Rahul Kumar, Michael Mindzak
2024· article· en· Canadian Perspectives on Academic Integrity· Psychology
machine prediction:candidate · research_integrityconsensus · none
33
citations
aboutno affunlabeled
Social Media Enabled Contract Cheating
Thomas Lancaster
2019· article· en· Canadian Perspectives on Academic Integrity· Business, Management and Accounting
machine prediction:candidate · research_integrityconsensus · none
15
citations
affno abstractunlabeled
Academic integrity and the pandemic
Paul Sopčák
2020· article· en· Canadian Perspectives on Academic Integrity· Health Professions
machine prediction:candidate · research_integrityconsensus · none
4
citations
affaboutunlabeled
Cheating: It depends how you define it
Lynne N. Kennette, Milan Jelenic
2023· article· en· Canadian Perspectives on Academic Integrity· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Mapping the Contours
Rahul Kumar
2024· article· en· Canadian Perspectives on Academic Integrity· Arts and Humanities
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Academic Integrity across the Canadian Landscape
Amanda McKenzie
2018· article· en· Canadian Perspectives on Academic Integrity· Social Sciences
machine prediction:candidate · research_integrityconsensus · none
3
citations
affno abstractunlabeled
Reflections on COVID-19 and academic integrity
Cheryl A. Kier
2020· article· en· Canadian Perspectives on Academic Integrity· Health Professions
machine prediction:candidate · research_integrityconsensus · none
1
citations
affaboutunlabeled
Addressing Equity in Academic Integrity
2024· article· Canadian Perspectives on Academic Integrity· Social Sciences
machine prediction:candidate · research_integrityconsensus · none
1
citations
affunlabeled
U Have Integrity
Sarah Elaine Eaton
2019· article· en· Canadian Perspectives on Academic Integrity· Social Sciences
machine prediction:candidate · research_integrityconsensus · none
1
citations

How this was built: Screen · Findings · About