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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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Canadian parliamentary review
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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.

1,210 results · 1 filter active ·
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20002021
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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.
1,210 works in the cohort · of 4,299,418page 6 of 25

Labels cover 3 of 1,210 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 1,210 of 1,210 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.

venueno affunlabeled
What the Parliament buildings mean to me
Audrey Moore
2007· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Challenging the chair
Tim R. Mercer
2006· article· en· Canadian parliamentary review· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Empowering Ontario Legislators
Randy Hillier
2013· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
The Office of Commissioner of Lobbying
Karen E. Shepherd
2010· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
How to be an effective speaker
Michel Bissonnet
2008· article· en· Canadian parliamentary review· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
The National Assembly of Québec in the Digital Era
Catherine Grétas, Éliane de Nicolini, Noémie Cimon-Mattar
2014· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affno abstractunlabeled
Voter Turnout in Canada and Denmark
Jessica Nasrallah
2009· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
The Story of the Virtual Parliament
Anthony Rota
2021· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Reflections on Reforming Parliament
Bill Blaikie
2008· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
How India Chooses its Head of State
Vivek Kumar Agnihotri
2012· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Quebec Monument to Honour Women in Politics
Fatima Houda-Pepin
2012· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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