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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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Organizational Management and Innovation
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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
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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.

144 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.
144 works in the cohort · of 4,299,418page 1 of 3

Labels cover 2 of 144 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 144 of 144 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.

affvenueno abstractunlabeled
¿Cuál es la probabilidad de hacer algo nuevo?
Douglas McDougall
2022· editorial· es· Canadian Journal of Science Mathematics and Technology Education· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Novato: ¿una categoría homogénea?
Catherine Delgoulet
2015· article· es· Laboreal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Problemas en el paraíso
Vladimir Pucik, Katherine Xin
2003· article· es· Harvard business review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Williamson on Modality
2016· article· en· PhilPapers (PhilPapers Foundation)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Las NIIF para PYMES: diferencias con los PCGAE
Carlos Barroso Rodríguez
2009· article· en· Técnica contable· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Askora, un modelo de negocio con alto valor añadido
José Antonio Carazo Muriel
2013· article· en· Capital humano: revista para la integración y desarrollo de los recursos humanos· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Mercadona y sus retos
Alicia Davara
2013· article· en· D/A Retail: Distribución Actualidad· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Calidad, factor diferencial
Patricia Balbontín del Valle
2003· article· en· Andalucía Económica· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Las instituciones del TLCAN
Greg Anderson
2008· article· es· Norteamérica· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Palabras de los redactores invitados
François Goxe, Michaël Viegas Pires
2022· article· es· Management international· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Construal Level in Organizational Research
Patricia Staats, Yidan Yin, Batia M. Wiesenfeld, Elinor Amit, Gil Appel, Robert D. Barrett +6 more
2021· article· en· Academy of Management Proceedings· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

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