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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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Academy of Management Proceedings
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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.

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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.

2,168 results · 1 filter active ·
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20032025
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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.
2,168 works in the cohort · of 4,299,418page 19 of 44

Labels cover 2 of 2,168 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 2,168 of 2,168 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.

affaboutunlabeled
Where do we go from here? Current issues in police work
Rodrigo Canales, Lyndon Earl Garrett, Lluvia Gonzalez, Elizabeth D. Hood, Jacqueline N. Hood, Debra Langan +3 more
2021· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Leading Employee Learning
Jean‐François Harvey, D. Christopher Kayes
2021· article· en· Academy of Management Proceedings· 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
affunlabeled
Artificial Intelligence and Innovation Ethics
Miguel Alzola, Thomas Donaldson, Samer Faraj, John Hooker, Tae Wan Kim, Cristina Neesham
2020· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Impasse Work in Creative Processes
Philip Gylfe, Spencer Harrison, Saku Mantere, Henri Schildt
2024· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Rankings, Reputation and Status: Novel Market Dynamics
Wooseok Jung, Amanda Sharkey, Michael Sauder, W. Chad Carlos, Yasir Dewan, Ben W. Lewis +8 more
2023· article· en· Academy of Management Proceedings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Vantage Point: Perspectives of Mental Health Experiences at Work
Daniel James Quintal-Curcic, Michaela Scanlon, Emily Rosado-Solomon, Julian Barling, Alyson Byrne, Anika Cloutier +4 more
2024· article· en· Academy of Management Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Dealing with Stressful Work Events: Insights for Managers and Employees
Christine Chi Hye Hwang, Claudia Christina Kitz, Laurie J. Barclay, Abiola Sarnecki, Myriam N. Bechtoldt, Anita C. Keller +7 more
2023· article· en· Academy of Management Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About