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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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Qualitative Research Methods and Ethics
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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
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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.

1,143 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.
1,143 works in the cohort · of 4,299,418page 23 of 23

Labels cover 48 of 1,143 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 1,143 of 1,143 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.

venueno affunlabeled
Perception is Participation
Niomi Anna Cherney
2015· article· en· Theatre Research in Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Mine is but a tear in a river
Tracey-Mae Chambers
2016· article· en· InTensions· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
aboutno affunlabeled
Goffman, Erving (1922–1982)
Gwh Smith
2007· book· en· The Blackwell Encyclopedia of Sociology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Creating Memories in Community
Stephen P. Hanna, Amy E. Potter
2025· article· en· Geographical Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fieldwork
Pooneh Torabian, Heather Mair
2024· book-chapter· en· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Reading the room
Karen Engle
2023· article· en· Anthropology & Humanism· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Living in the hyphens
Veena Balsawer
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Painting a Picture of Alberta History
Jennifer Tupper
2025· article· en· Journal of the Canadian Association for Curriculum Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
From the Editors
The Editors
2008· article· en· Basic Income Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Imagining Alternative Spaces
Anna Chadwick
2019· article· en· Girlhood Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Epilogue
Dan Bednarz
2017· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The Conceptual Leap
Ali Shiri
2025· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Autobiography
David Butz
2020· other· en· International Encyclopedia of Geography· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About