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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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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 23 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. 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.

affunlabeled
source-pane.pper
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
VEC200_HOHEITSGEBIET_LV95.zip
Lucas Leemann, Leonardo Baccini
2020· dataset· de· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Editorial
Xiuli Du, M. Hesham El Naggar, Satoshi Yamada, Yan‐Gang Zhao
2025· editorial· en· Urban Resilience and Earthquake Engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Contributors
UnderCurrents Editorial Collective
2014· article· en· UnderCurrents Journal of Critical Environmental Studies· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Social Capital of the Orang Asli Families
Sumaiya Sadeka, Mohd Suhaimi Mohamad, Md. Sujahangir Kabir Sarkar, Abul Quasem Al‐Amin
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
HEAD
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Consent in escrow: opting to opt in
Kiah I. Van der Loos, Holly Longstaff, Alice Virani, Judy Illes
2015· article· en· Journal of Law and the Biosciences· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Book Review: <i>Children of Katrina</i>
Timothy J. Haney
2016· article· en· International Journal of Mass Emergencies & Disasters· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
19B244D2
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
update.sample
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Article on Bereaving the Missing
Tracie Wong
2005· article· en· Families in Society The Journal of Contemporary Social Services· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Welcome to Volume 2, Edition 2 of CJEM
Alexander Fremis
2022· article· en· Canadian Journal of Emergency Management· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Disaster Risk Management in Asia and the Pacific
Emmanuel Raju
2015· article· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Surviving with SMS
Mohammad Shirali-Shahreza, Sajad Shirali-Shahreza
2010· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/ttLet4cDo2
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Family Disaster Preparedness
Sumaiya Sadeka, Mohd Suhaimi Mohamad, Md. Sujahangir Kabir Sarkar, Abul Quasem Al‐Amin
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About