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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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Label status

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 19 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
Canadian Political Science Association
2006· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Locating Nunavut
2015· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
A Walk in the Rain Forest.
Glenn Gustafson
2001· article· en· Green teacher· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Creating learning alliances for flourishing food environmental futures
Deborah Dutta, Miwa Aoki Takeuchi, Anita Chowdhury, Sonder Edworthy, Chantal Eves, S. M. Habibur Rahman Habib +2 more
2025· article· en· Canadian Food Studies / La Revue canadienne des études sur l alimentation· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Regaining the Love of Learning
Cecilia Reynolds
2010· article· en· LEARNing Landscapes· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Off to Class by S. Hughes
Debbie Feisst
2013· article· en· The Deakin Review of Children s Literature· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Four Strong Schools
Рена Упитис
2007· article· International journal of education and the arts· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Early Childhood and Music in Indigenous Contexts
Sally Treloyn, Andrea Emberly, Rona Goonginda Charles, Leah Umbagai
2023· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
The Song Within My Heart by D. Bouchard
Trudy Cardinal, Sulya Fenichel
2016· article· en· The Deakin Review of Children s Literature· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Education Papers About the Author
2007· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
The Prison Camp as Pedagogy of Place
Cathlin Goulding
2021· article· en· Annals of Social Studies Education Research for Teachers· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About