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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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Public Relations and Crisis Communication
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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
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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.

706 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.
706 works in the cohort · of 4,299,418page 3 of 15

Labels cover 2 of 706 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 706 of 706 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Developing an evaluation tool for disaster risk messages
Caroline D. Bergeron, Daniela B. Friedman
2015· article· en· Disaster Prevention and Management An International Journal· Social Sciences
distilled prediction:candidate · noneconsensus · none
15
citations
aboutno affunlabeled
Globalisation and crisis communication
Mahmoud M. A. Eid, Toby Fyfe
2009· article· en· Journal of International Communication· Social Sciences
distilled prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagement
Melissa MacKay, Andrea N. Cimino, Samira Yousefinaghani, Jennifer E. McWhirter, Rozita Dara, Andrew Papadopoulos
2022· article· en· International Journal of Environmental Research and Public Health· Social Sciences
distilled prediction:candidate · metaresearch+stsconsensus · none
13
citations
affunlabeled
Corporate accountability during crisis in the digitized era
Maryam Firoozi, Chih‐Hao Ku
2022· article· en· Accounting Auditing & Accountability Journal· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+research_integrity+insufficient_payloadconsensus · none
12
citations
affvenueaboutunlabeled
Third Sector and Social Media
Ryan Deschamps, Kathleen McNutt
2014· article· en· Canadian journal of nonprofit and social economy research· Social Sciences
distilled prediction:candidate · stsconsensus · none
10
citations
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How this was built: Screen · Findings · About