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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 7 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.

venueno affunlabeled
Sector Bias and Sector Dualism
Daniela Rohrbach
2009· article· en· International Journal of Comparative Sociology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
aboutno affunlabeled
Winners and Losers in the Labour Market of the 1990s
Andrew Heisz, Andrew Jackson, G. Picot
2002· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Education, earnings, and the
Thomas Lemieux
2016· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Dissecting Idiosyncratic Earnings Risk
Elin Halvorsen, Hans A. Holter, Serdar Ozkan, Kjetil Storesletten
2023· article· en· Journal of the European Economic Association· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
afffundno abstractunlabeled
Can Low-wage Workers Find Better Jobs?
Jaison R. Abel, Richard Florida, Todd Gabe
2018· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affvenueaboutunlabeled
Minimum Wages and Wage Spillovers in Canada
Michele Campolieti
2015· article· en· Canadian Public Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
The Evolution of High Incomes in Canada, 1920-2000
Emmanuel Saez, Michael R. Veall
2003· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
15
citations

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