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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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Hate Speech and Cyberbullying Detection
Retraction
Abstract
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Study design
Label agreement
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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.

719 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
719 works in the cohort · of 4,299,418page 9 of 15

Labels cover 2 of 719 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 719 of 719 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Constructing the Student Culprit
Christopher J. Schneider
2011· article· en· Culture Studies &#x2194 Critical Methodologies· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
1
citations
venueno affunlabeled
Exploring Gender Bias in Search Engines
Calvin Hillis, Ebrahim Bagheri, Zack Marshall
2024· article· en· The International Review of Information Ethics· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Social Media Providers and Human Rights
Osvald Bergmann, John Berry
2022· article· en· Science of law.· Computer Science
distilled prediction:candidate · stsconsensus · none
1
citations
aboutno affunlabeled
Cyberbullying: Should Schools choose between Safety and Privacy?
Michael Laubscher, Willie van Vollenhoven
2015· article· en· Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+research_integrityconsensus · metaepi_narrow
1
citations
affunlabeled
Bash in the Wild: Language Usage, Code Smells, and Bugs - Dataset
Zheyang Li, Yiwen Dong, Yongqiang Tian, C. P. Sun, Michael W. Godfrey, Meiyappan Nagappan
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
When Law Frees Us to Speak
Danielle Keats Citron, Jonathon W. Penney
2019· article· en· eYLS (Yale Law School)· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
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