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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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LGBTQ Health, Identity, and Policy
Retraction
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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.

3,934 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.
3,934 works in the cohort · of 4,299,418page 62 of 79

Labels cover 18 of 3,934 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 3,934 of 3,934 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
Rusty Nail
2010· article· en· OhioLink ETD Center (Ohio Library and Information Network)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Constructing Inclusive Masculinities
2014· dissertation· en· OCAD University Open Research Repository (OCAD University)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Missed Connections
2021· dissertation· en· Scholarship at UWindsor (University of Windsor)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Body Geographic
2013· article· en· Insecta mundi· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The Canadian Homo<s>sex</s>ual
2018· article· en· Project Muse (Johns Hopkins University)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ЛГБТ-військові в Україні під час російсько-української війни: тенденції в суспільному ставленні та перспективи впровадження політик із протидії дискримінації в армії України
Дзвенислава Щерба, Іван Дьяченко
2025· article· uk· The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Lacanian Theory, Law and Culture
2025· other· en· York University Digital Library (York University)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
'Gay marriage', lesbian\n wedding
2010· article· en· Flinders Academic Commons (Flinders University)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sample search strategy (MEDLINE).
2023· article· en· Figshare· Psychology
machine prediction:candidate · metaresearchconsensus · none
0
citations
affaboutunlabeled
The ArQuives:
Daniel Payne
2025· article· en· Art Documentation Journal of the Art Libraries Society of North America· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Exploring Dilemmas in British Transgender Groups
Jingbo Chen, Bofan Ma, Tianyu Zhang
2022· book-chapter· en· Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research· Psychology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About