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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.

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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Disaster Management and Resilience
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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.

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.

1,725 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.
1,725 works in the cohort · of 4,299,418page 22 of 35

Labels cover 2 of 1,725 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 1,725 of 1,725 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
QAnon: A rising threat to democracy?
Julien Bellaiche
2021· article· en· The Journal of Intelligence Conflict and Warfare· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
One Year Ago
2009· article· en· Lincoln (University of Nebraska)· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Categorising potential non-disasters
Brady Podloski, Ilan Kelman
2023· article· en· Disaster Prevention and Management An International Journal· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Active Role of Women in Disaster Prone Areas
Ratnanik Ratnanik, Yulinda Erma Suryani
2020· article· en· Social Humanities and Educational Studies (SHEs) Conference Series· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
all data for CH.tab
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
exclude
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Disaster_events_dates_keeperL.tab
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Reviews
William R. Green, Robert Avakian
2013· article· en· The Leading Edge· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
42566856
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
B210D44D
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
1230C5EC
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
commit-msg.sample
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ch_geom.Rds
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Flattening the Curve
Victoria Power
2020· article· en· MacEwan University Student eJournal· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Australian fires may destabilise prime minister
2020· other· en· Emerald expert briefings· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About