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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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Conflict Management and Negotiation
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
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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.

435 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.
435 works in the cohort · of 4,299,418page 2 of 9

Labels cover 1 of 435 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 435 of 435 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
Nursing Professional Practice Environments
Heidi M. Siu, Heather K. Spence Laschinger, Joan Finegan
2008· article· en· JONA The Journal of Nursing Administration· Social Sciences
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Identity formation in multiparty negotiations
Roderick I. Swaab, Tom Postmes, Russell Spears
2007· article· en· British Journal of Social Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
The Challenge of Learning
Jeffrey Loewenstein, Leigh Thompson
2000· article· en· Negotiation Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Negotiating with the Chinese
Michael V. Miles
2003· article· en· The Journal of Applied Behavioral Science· Social Sciences
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Falling Over Ourselves to Follow the Leader
Igor Kotlyar, Leonard Karakowsky
2007· article· en· Journal of Leadership & Organizational Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
What Makes Parties Trust Mediators?
Jean Poitras
2009· article· en· Negotiation Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
The Illusion of Transparency in Negotiations
Leaf Van Boven, Thomas Gilovich, Victoria Husted Medvec
2003· article· en· Negotiation Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Quantifying the Quality of Mediation Agreements
Jean Poitras, Aurélia Le Tareau
2009· article· en· Negotiation and Conflict Management Research· Social Sciences
machine prediction:candidate · noneconsensus · none
38
citations
affaboutunlabeled
The Conceptual Structure of Social Disputes
Thomas Homer‐Dixon, Manjana Milkoreit, Steven Mock, Tobias Schröder, Paul Thagard
2014· article· en· SAGE Open· Social Sciences
machine prediction:candidate · noneconsensus · none
29
citations
aboutno affunlabeled
Conflict management and performance outcomes
Richard A. Posthuma
2011· article· en· International Journal of Conflict Management· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About