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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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Gender and Technology in Education
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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

388 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.
388 works in the cohort · of 4,299,418page 3 of 8

Labels cover 1 of 388 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 388 of 388 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Women, work and Web 2.0: a case study
Rhiannon Bury
2010· article· en· New Technology Work and Employment· Social Sciences
distilled prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Improving Intergroup Relations Through Online Contact
Meital Amzalag, Noa Shapira
2021· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Modeling Women's Elective Choices in Computing
Steven Bradley, Miranda C. Parker, Rukiye Altın, Lecia Barker, Sara Hooshangi, Thom Kunkeler +6 more
2023· article· en· Social Sciences
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
DEI in the IS discipline: What can we do better?
Jane Fedorowicz, Fay Cobb Payton, Yolande E. Chan, Dov Te’eni
2023· article· en· The Journal of Strategic Information Systems· Social Sciences
distilled prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Policy Unplugged
Jennifer Jenson, Chloë Brushwood Rose, Brian Lewis
2007· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affno abstractunlabeled
Gender and website design across cultures
Dianne Cyr
2009· article· en· European Conference on Information Systems· Social Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Girls and Computing
Helen Jøsok Gansmo
2006· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About