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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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Knowledge Management and Sharing
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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
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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.

1,097 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.
1,097 works in the cohort · of 4,299,418page 15 of 22

Labels cover 10 of 1,097 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 1,097 of 1,097 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Knowledge Management in Charities
Kathleen E. Greenaway, David Vuong
2011· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
affunlabeled
Trust in Virtual Communities
Eun G. Park
2006· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
How Should Students Prepare for Exams
David Smiderle, Patricia L. Weigel Green
2011· article· en· International Journal of Knowledge Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Understanding Trust in Virtual Communities
Qing Zou, Eun G. Park
2011· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Mobile Virtual Communities
Christo El Morr
2008· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
The knowledge-building oriented virtual practicum
Stéphane Allaire, Thérèse Laferrière
2005· article· en· Society for Information Technology & Teacher Education International Conference· Social Sciences
distilled prediction:candidate · stsconsensus · none
1
citations
affunlabeled
Information seeking and use in diverse organizational contexts
Brian Detlor, Chun Wei Choo, Maureen L Mackenzie, Don Turnbull, Matt Ratto
2009· article· en· Proceedings of the American Society for Information Science and Technology· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Strengthening an Organizational Knowledge-Sharing Culture
Jens Degn-Andersen
2021· book-chapter· en· Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · metaepi_narrow
1
citations

How this was built: Screen · Findings · About