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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.

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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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Ethics in Business and Education
Retraction
Abstract
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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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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.

1,037 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.
1,037 works in the cohort · of 4,299,418page 16 of 21

Labels cover 9 of 1,037 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 1,037 of 1,037 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 affno abstractunlabeled
The Deterrent Effects of Corporate Punishment
Emily Wong
2020· article· en· Journal of integrative research & reflection· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.14322/publons.r2547993
2000· dataset· en· Time to knit· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Is ethics evaporating in the cyber era?
Alfredo M. Ronchi
2022· article· en· The International Review of Information Ethics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
1_TX5.xyz
2024· dataset· eu· UNB Dataverse· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Of College Students Committing Crimes
Wen-jie Shang
2010· article· en· Cross-cultural communication· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Towards the Design of Effective Whistleblowing Systems
Paul Jobinpicard, Ahmed Doha
2022· article· en· Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Leader Integrity - Its Necessity and Nature
Mark Reno, Mary Crossan
2013· article· en· Academy of Management Proceedings· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Foundational Ethics, Feminism, and Business Ethics
Philip McShane
2002· article· en· The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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