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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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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.

8,849 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.
8,849 works in the cohort · of 4,299,418page 1 of 177

Labels cover 31 of 8,849 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 8,849 of 8,849 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
2019 Canadian Election Study (CES) - Online Survey
Laura B. Stephenson, Allison Harell, Daniel Rubenson, Peter John Loewen
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
ICEWS Event Aggregations
Jennifer Lautenschlager, Steve Shellman, Michael D. Ward
2015· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · noneconsensus · none
38
citations
affaboutunlabeled
2021 Canadian Election Study (CES)
Laura B. Stephenson, Allison Harell, Daniel Rubenson
2022· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
26
citations
afffundunlabeled
Perceptions of Electoral Integrity, (PEI-8.0)
Holly Ann Garnett, Toby S. James, Madison MacGregor
2022· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
2021 Democracy Checkup
Allison Harell, Laura B. Stephenson, Daniel Rubenson, Peter John Loewen
2022· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
2019 Canadian Election Study (CES) - Phone Survey
Laura B. Stephenson, Allison Harell, Daniel Rubenson, Peter John Loewen
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
PROSPERED Dataset: Maternity leave policy
Arijit Nandi, Ilona Vincent, Efe Atabay
2018· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Data for: Unreviewed science in the news
Juan Pablo Alperín, Alice Fleerackers, Kenneth Shores
2023· dataset· en· Harvard Dataverse· Decision Sciences
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
2
citations
affunlabeled
Data for Virtual Mapping in Kenya
Shajy Isac, Parinita Bhattacharjee
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Questionnaire for Virtual Mapping in Kenya
Shajy Isac, Parinita Bhattacharjee
2020· dataset· en· Harvard Dataverse· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
aboutno affunlabeled
Natural Climate Solutions for Canada
C. Ronnie Drever
2021· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Participedia Case Data
Participedia Project
2017· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
NATO Gender Guidelines Dataset NGGD
Heidi Hardt, Stéfanie von Hlatky
2019· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About