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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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Regional Development and Policy
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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.

1,016 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.
1,016 works in the cohort · of 4,299,418page 9 of 21

Labels cover 4 of 1,016 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 1,016 of 1,016 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
What Skills do IT Companies Look for in New Developers?
João Eduardo Montandon, Cristiano Politowiski, Luciana Lourdes Silva, Marco Túlio Valente, Fábio Petrillo, Yann‐Gaël Guéhéneuc
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Economic Review, September 2008
Anis Chowdhury
2008· article· en· Economic & Labour Market Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
London Chapter Centennial Symposium Report
M DRUIAN
2008· article· en· Alpha Omegan· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Contributors
Fiorenza Belussi, Rafael Boix, Francesco Capone, Tommaso Cinti, Philip Cooke, Luciana Lazzeretti +6 more
2007· book-chapter· en· Edward Elgar Publishing eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Firm-level innovation in New Zealand
Les Oxley, Seongmin Hong
2011· article· en· Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Crisis continues to smoulder
Imk Düsseldorf, Ofce Paris, Wifo Wien
2013· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Economy Between Slowdown and Stabilisation
Stefan Ederer
2019· article· en· WIFO Monatsberichte (monthly reports)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Governing the Digital Society
2025· book· en· Amsterdam University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Progress in International Business Research
Rob van Tulder, Alain Verbeke, Liviu Voinea
2012· book-chapter· en· Progress in international business research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About