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
Narrative Works
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.

152 results · 1 filter active ·
Results by year
20112025
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.
152 works in the cohort · of 4,299,418page 2 of 4

Labels cover 0 of 152 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 152 of 152 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 affno abstractunlabeled
Editors’ Introduction
Matti Hyvärinen, Samuli Björninen
2024· article· en· Narrative Works· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
How to Make Narrative Interventions Work
Gerben J. Westerhof
2024· article· en· Narrative Works· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Chapter 7
Robert Atkinson, Adele Baruch, Lillian Harris
2020· article· en· Narrative Works· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affunlabeled
Ethnopoetics and Narrative Analysis
Paul Atkinson, Natasha Carver
2021· article· en· Narrative Works· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Chapter 5
Mimica Tsezana-Hyman, Alexander George Katopis, Susan Santiago
2020· article· en· Narrative Works· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Chapter 6
Kim West, Amanda Lane, Madison Libby
2020· article· en· Narrative Works· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Afterword
William L. Randall
2021· article· en· Narrative Works
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Chapter 4
Adele Baruch
2020· article· en· Narrative Works· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Editor’s Introduction: Amor Narratio
Maria Tamboukou
2021· article· en· Narrative Works· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Chapter 3
Adele Baruch, Daniel Creek
2020· article· en· Narrative Works· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Narrative Gerontology, Spiritual Time
W. Andrew Achenbaum, Barbara Lewis
2012· article· en· Narrative Works· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About