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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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Ethics in Business and Education
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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.

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 8 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.

affunlabeled
What Is (and Isn’t) a Product Recall?
Vivek Astvansh, Kersi D. Antia, Gerard J. Tellis
2024· article· en· Journal of Public Policy & Marketing· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
A Way Forward
Richard Cotton, W. B. Stevenson, Jean M. Bartunek
2016· article· en· The Journal of Applied Behavioral Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Considering ethical issues
Elizabeth J. Burge
2007· article· en· Open Learning The Journal of Open Distance and e-Learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Operationalizing business ethics in organizations
Jang Bahadur Singh, Greg Wood, Michael Callaghan, Göran Svensson, Svante Andersson
2018· article· en· European Business Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About