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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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Labor market dynamics and wage inequality
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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.

1,631 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.
1,631 works in the cohort · of 4,299,418page 31 of 33

Labels cover 1 of 1,631 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 1,631 of 1,631 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
Differentiation of Skills and Unemployment
Samir Amine
2015· book-chapter· en· Advances in finance, accounting, and economics book series· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dynamic treatment effects of job training
Jorge Rodríguez, Fernando Saltiel, Sergio Urzúa
2021· article· en· Journal of Applied Econometrics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial Advisory Board
2012· other· en· Research in labor economics· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Hours and Labor Market Slack
Murat Tasci, Beth Mowry
2010· article· en· Economic Trends· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Labour Market Matters - January 2013
Vivian Tran
2013· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Minimum Wage Earners
Murat Tasci, Cara Stepanczuk
2007· article· en· Economic Trends· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Federal Reserve Bank
2010· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundno abstractunlabeled
Wage dynamics and peer referrals
Vincent Boucher, Marion Goussé
2018· preprint· en· Review of Economic Dynamics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Pay Transparency and the Gender Gap
Michael Baker, Yosh Halberstam, Kory Kroft, Alexandre Mas, Derek Messacar
2019· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About