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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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Digital Journalism
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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.

21 results · 1 filter active ·
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20122025
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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.
21 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 21 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 21 of 21 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
Waiting for Data Journalism
Juliette De Maeyer, Manon Libert, David Domingo, François Heinderyckx, Florence Le Cam
2014· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · noneconsensus · none
122
citations
aboutno affunlabeled
BREAKING BOUNDARIES
Kristy Hess
2012· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · noneconsensus · none
93
citations
affaboutunlabeled
News by Numbers
Nicole Blanchett
2018· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
77
citations
affaboutunlabeled
The Information Security Cultures of Journalism
Masashi Crete‐Nishihata, Joshua Oliver, Christopher Parsons, Dawn Walker, Lokman Tsui, Ronald J. Deibert
2020· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · noneconsensus · none
29
citations
fundno affunlabeled
Scoring Live Tweets on the Beat
Jeremy L. Shermak
2017· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
WIKILEAKS AFTER MEGALEAKS
Lisa Lynch
2013· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Why Infrastructure Studies for Journalism?
Mary Lynn Young, Alfred Hermida
2024· article· en· Digital Journalism· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
@franklinfordbot
Juliette De Maeyer, Dominique Trudel
2018· article· en· Digital Journalism· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations

How this was built: Screen · Findings · About