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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.

affaffiliation
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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 18 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.

affunlabeled
The Downside of Great Expectations
Leonard Karakowsky, Jessica J. Good, Igor Kotlyar
2016· article· en· Academy of Management Proceedings· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sustainable Management and Indigenous People
Aloysius Newenham‐Kahindi, Marc J. Ventresca
2015· article· en· Academy of Management Proceedings· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Effect of the Ideal Worker Norm on Employees
Clarissa Rene Steele, Galina Boiarintseva, Vanessa Burke, Alyson Gounden Rock, Aurora Turek, Jennica R. Webster
2021· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Advancing Gender Diversity and Inclusion in Organizations
Yan Yi Lance Du, Julia Grgic, Irina Gioaba, Maja Graso, Marla Baskerville Watkins
2025· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mobilizing Meaning in Times of Crisis
Marlys K. Christianson, Rich DeJordy, Christi Lockwood, Ryann Manning, Trent A Williams
2016· article· en· Academy of Management Proceedings· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Network Dynamics of Conventions
Joshua Becker
2019· article· en· Academy of Management Proceedings· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
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
affunlabeled
Jumping In, but Easing Out
Peter Younkin
2012· 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

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