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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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Gender, Labor, and Family Dynamics
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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.

1,528 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.
1,528 works in the cohort · of 4,299,418page 23 of 31

Labels cover 1 of 1,528 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 1,528 of 1,528 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
Four perspectives on population policies
Urs P. Thomas
2014· article· en· International Journal of Environment and Pollution· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Paying People to Be Healthy
Evelyn L. Forget
2013· article· en· Research Information System of Ardabil University of Medical Sciences (Ardabil University of Medical Sciences)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Women make houses, women make homes
Mevlude Akbulut‐Yuksel, Melanie Khamis, Mutlu Yuksel
2017· article· en· Labour Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Creating gender-balanced obituaries
Mary Colak
2017· article· en· VIURRSpace (Vancouver Island University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Land, Wealth, and Taxation
R. Brunetti, Carl Gaigné, Fabien Moizeau
2024· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Findings from CBAs of Welfare-to-Work Programs
David H. Greenberg, Aidan R. Vining, David L. Weimer
2018· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(07)70641-9
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Book Review: Set Adrift: Fishing Families
Marilyn Porter
2003· article· en· International Journal of Maritime History· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Farewell to Patriarchy
Linda Palmer Nye
2007· article· en· Canadian women's studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canada
2011· book-chapter· en· Taxing wages· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
An Analysis of Effective Marginal Tax Rates in Quebec
Jean‐Yves Duclos, Bernard Fortin, Andrée-Anne Fournier
2007· preprint· en· Project Muse (Johns Hopkins University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
How your sexual orientation can affect how much you earn
Sean Waite, Nicole Denier
2015· article· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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