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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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Career Development and Diversity
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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
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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.

871 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.
871 works in the cohort · of 4,299,418page 1 of 18

Labels cover 0 of 871 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 871 of 871 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.

affno abstractunlabeled
Constructing career through narrative
Charles Bujold
2004· article· en· Journal of Vocational Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
212
citations
affunlabeled
Gender Inclusion and Fit in STEM
Toni Schmader
2022· review· en· Annual Review of Psychology· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
153
citations
affno abstractunlabeled
Effectiveness of career counseling: A one-year follow-up
Sophie Perdrix, Sarah D. Stauffer, Jonas Masdonati, Koorosh Massoudi, Jérôme Rossier
2011· article· en· Journal of Vocational Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
117
citations
afffundunlabeled
Engineering Exchanges
William M. Hall, Toni Schmader, Elizabeth A. Croft
2015· article· en· Social Psychological and Personality Science· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
114
citations
aboutno affunlabeled
Career Counselling
2016· book· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
92
citations
aboutno affunlabeled
Senior high school career planning: What students want
Kim D. Witko, Kerry B. Bernes, Kris Magnusson, Angela D. Bardick
2009· article· en· Journal of educational enquiry· Social Sciences
machine prediction:candidate · noneconsensus · none
64
citations
affunlabeled
Strengthening Career Human Agency
Charles P. Chen
2006· article· en· Journal of Counseling & Development· Social Sciences
machine prediction:candidate · noneconsensus · none
58
citations
affunlabeled
Career counseling for gifted students
Charles P. Chen, Joyce Wong
2013· article· en· Australian Journal of Career Development· Social Sciences
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Career Decisions From the Decider's Perspective
Norman E. Amundson, William A. Borgen, Maria Iaquinta, Lee D. Butterfield, Emily Koert
2010· article· en· The Career Development Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
51
citations
fundaboutno affunlabeled
High School Choices and the Gender Gap in STEM
David Card, A. Abigail Payne
2017· preprint· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
49
citations

How this was built: Screen · Findings · About