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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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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.

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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.

364 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
364 works in the cohort · of 4,299,418page 4 of 8

Labels cover 3 of 364 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 364 of 364 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Citoyens et delateurs
Jean‐Paul Brodeur, Fabien Jobard
2011· book· fr· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
Elisabeth N. Dixon Oral History Interview
2011· article· en· Digital Commons - University of South Florida (University of South Florida)· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Directives sur la dépersonnalisation des données
2020· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Can I Share My Data?
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
distilled prediction:candidate · sts+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Directives sur la dépersonnalisation des données
2020· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Elaho River Salmon Restoration Project
2022· article· en· Western CEDAR (Western Washington University)· Social Sciences
distilled prediction:candidate · stsconsensus · none
0
citations
affunlabeled
Participants' Data
Babak Taati, Sina Mehdizadeh, Hoda Nabavi, Andrea Sabo, Twinkle Arora, Andrea Iaboni
2022· dataset· en· Figshare· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Kanadisches Filmarchiv geht online
Robert A. Gehring
2009· preprint· de· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Directives sur la dépersonnalisation des données
2020· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Three questions with …. Erica!
Alice Fleerackers
2021· preprint· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Visiting Scholars at the ScholCommLab
Alice Fleerackers
2018· preprint· en· Social Sciences
distilled prediction:candidate · sts+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Forest Appreciation: Leader's Guide
2016· other· en· University of Minnesota Digital Conservancy (University of Minnesota)· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Historia (hyper)textus, historia digitalis
Mikko Kainulainen
2020· article· en· Kasvatus & Aika· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About