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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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Arctic and Russian Policy Studies
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.

3,279 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.
3,279 works in the cohort · of 4,299,418page 50 of 66

Labels cover 1 of 3,279 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 3,279 of 3,279 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.

venueaboutno affunlabeled
Arctic Thunder: A Novel by R. Feagan
Sandy Campbell
2011· article· en· The Deakin Review of Children s Literature· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
International Legal Status of the Arctic
Aleksandr Vasilyevich Kuznetcov
2016· article· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lessons in fisheries politics
G. L. Kristianson
2018· preprint· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on egusphere-2025-3482
2025· peer-review· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Comment on egusphere-2025-2981
2025· peer-review· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
The Neoliberal Tourist
Bruce R. Erickson
2021· article· en· ACME: An International Journal for Critical Geographies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
Gorm Winther
2024· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2025-2170
2025· peer-review· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Treaty Timeline
Hamar Foster, Neil Vallance
2021· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Comment on egusphere-2025-2991
2025· peer-review· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Comment on egusphere-2025-975
2025· peer-review· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The Future of the Central Arctic Ocean
Mathieu Landriault, Pauline Pic
2025· article· en· The Polar Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
4. Arctic
David VanderZwaag
2020· article· en· Yearbook of International Environmental Law· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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