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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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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.

13 results · 1 filter active ·
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20082023
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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.
13 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 13 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 13 of 13 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
A novel perspective on doctoral supervision
Søren Smedegaard Ernst Bengtsen, Lynn McAlpine
2022· article· en· Learning and Teaching· Health Professions
machine prediction:candidate · noneconsensus · none
22
citations
aboutno affunlabeled
Book Reviews
Mark Sandle, Gary Taylor, Penny Welch
2008· article· en· Learning and Teaching· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Book Reviews
Hans Karl Peterlini, Mary Brydon‐Miller
2016· article· en· Learning and Teaching· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Editorial
Penny Welch, Susan Wright
2021· editorial· en· Learning and Teaching· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial
Penny Welch, Susan Wright
2016· editorial· en· Learning and Teaching· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial
Penny Welch, Susan Wright
2023· editorial· en· Learning and Teaching· Psychology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About