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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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ICT Impact and Policies
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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.

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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.

1,506 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.
1,506 works in the cohort · of 4,299,418page 30 of 31

Labels cover 5 of 1,506 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 1,506 of 1,506 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.

aboutno affunlabeled
Silicon Valley in the South
MITSUHIRO KAGAMI, Akifumi Kuchiki
2022· dataset· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canadian Pacific wireless press
2018· article· en· Open Collections· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
30 Years After Launch
Ian Campbell
2017· article· en· Journal of Telecommunications and the Digital Economy· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Digital Technology Use and Future Expectations
Claire Daniel, Elizabeth A. Wentz, Petra Hurtado, Wei Yang, Christopher Pettit
2023· dataset· en· Figshare· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cable Television
Megan Mullen
2014· reference-entry· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Consolidation of Media Markets
Dwayne Winseck
2010· other· en· The International Encyclopedia of Communication· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
E-Government and SMEs
Ron Craig
2008· book-chapter· en· IGI Global eBooks· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Communication, Technology and Culture 2016 - COMM3403
Tracey P. Lauriault
2016· article· en· Carleton University's Institutional Repository (MacOdrum Library, Carleton University)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
(originally published in October 1997)
Zak Muscovitch
2005· article· en· First Monday· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Canadian Law
Gilles A. Daigle, Dean Saul, Stephen Heller, Mark Opashinov
2002· article· SMU Scholar (Southern Methodist University)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
An Outpost of Digital Hope
Jacob Bruggeman
2025· article· en· The Journal of Community Informatics· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About