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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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Indigenous and Place-Based Education
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.

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.

961 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.
961 works in the cohort · of 4,299,418page 17 of 20

Labels cover 2 of 961 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 961 of 961 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.

aboutno affunlabeled
Relate North: Lessons of the Land
2025· book· en· InSEA Publications eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Education, Food Justice & Sustainability
Larry Bencze, Steven Alsop
2010· article· en· Journal for Activist Science and Technology Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Development of the Learning Environment
Carlos G. A. Ormond, Susan Teed, Laura Piersol, David B. Zandvliet
2013· book-chapter· en· SensePublishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Un-learning and re-learning:
Alissa Overend, Ronak Rai
2024· article· en· Canadian Food Studies / La Revue canadienne des études sur l alimentation· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Math Circles in North Bay – the Northern Experience
Laura Huntington, Tzvetalin S. Vassilev
2015· article· en· British Journal of Education Society & Behavioural Science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Un-learning and re-learning:
Alissa Overend, Ronak Rai
2024· article· en· Canadian Food Studies / La Revue canadienne des études sur l alimentation· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
What Is Really New in the “New” Urban Environment?
Nombuso Dlamini, Natalie Davey, Audrey Hudson, Samuel Tecle
2011· article· en· Comparative and International Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sitting in the Bush, or Deliberate Idleness
Sylvia Bowerbank
2017· article· en· Scholars Commons (Wilfrid Laurier University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Placelessness through children’s literature
2023· article· en· Memorial University Research Repository (Memorial University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Investigators
2009· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About