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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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Workplace Violence and Bullying
Retraction
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,014 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,014 works in the cohort · of 4,299,418page 10 of 21

Labels cover 4 of 1,014 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 1,014 of 1,014 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
Insights into abusive workplace behavior
Aharon Tziner, Hadara Bar-Mor, Daphna Shwartz-Asher, Or Shkoler, Lilach Geva, Haim Levi
2023· article· en· Frontiers in Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Workplace Mistreatment
Michael P. Hanrahan, Michael P. Leiter
2014· other· en· Well Being· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
fundno affno abstractunlabeled
Surviving toxic work environments
Apryll M. Stalcup
2012· article· en· Analytical and Bioanalytical Chemistry· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
VIOLÊNCIAS NO AMBIENTE DE TRABALHO: PONDERAÇÕES TEÓRICAS
Juliana Moro Bueno Mendonça, Marcus Vinícius Soares Siqueira, Marcelo Augusto Finazzi Santos, Cíntia Rodrigues de Oliveira Medeiros
2018· article· pt· Psicologia & Sociedade· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About