MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Harvard Kennedy School Misinformation Review
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

16 results · 1 filter active ·
Results by year
20202024
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
16 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 16 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 16 of 16 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online
Ziv Epstein, Adam J. Berinsky, Rocky Cole, Andrew Gully, Gordon Pennycook, David G. Rand
2021· article· en· Harvard Kennedy School Misinformation Review· Social Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
86
citations
afffundunlabeled
How effective are TikTok misinformation debunking videos?
Puneet Bhargava, Katie MacDonald, Christie Newton, Hause Lin, Gordon Pennycook
2023· article· en· Harvard Kennedy School Misinformation Review· Social Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
25
citations
afffundunlabeled
White consciousness helps explain conspiracy thinking
Feodor Snagovsky
2024· article· en· Harvard Kennedy School Misinformation Review· Social Sciences
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
2
citations

How this was built: Screen · Findings · About