MétaCan
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.

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
T.H.E. Journal Technological Horizons in Education
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.

23 results · 1 filter active ·
Results by year
20042016
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.
23 works in the cohort · of 4,299,418page 1 of 1

Labels cover 1 of 23 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 23 of 23 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Home Connectivity and the Homework Gap
Leila Meyer
2016· article· en· T.H.E. Journal Technological Horizons in Education· Social Sciences
distilled prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
3 Reasons Chromebooks Are Shining in Education
Dian Schaffhauser
2015· article· en· T.H.E. Journal Technological Horizons in Education· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
5 Ways Teachers Are Opening Up the World to Special Education through Technology: Teachers Who Work with Special Needs Students Are Finding That Technology Can Not Only Broaden Their Students' Experiences but Engage Them in Learning, Help Them Retain Information, Improve Their Socialization and Boost Their Self-Esteem
Leila Meyer
2016· article· en· T.H.E. Journal Technological Horizons in Education· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrityconsensus · none
0
citations

How this was built: Screen · Findings · About