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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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Racial and Ethnic Identity Research
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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.

1,000 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,000 works in the cohort · of 4,299,418page 12 of 20

Labels cover 1 of 1,000 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 1,000 of 1,000 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.

affaboutunlabeled
DO BLACK LIVE MATTER AMID COVID-19 PANDEMIC?
David Firang
2020· article· en· International Journal of Community Development and Management Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Japanese American Nursing Education Leadership
Jillian Inouye, Patricia T. Alpert
2018· article· en· Asian/Pacific Island Nursing Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Negotiating cultural and contextual experiences
Irene Torres-Arends, Michele Jacobsen, Brian J. Lang
2025· article· en· Journal of International Students· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Health disparities in allergic diseases
Samantha R. Jacobs, Nicole Ramsey, Mariangela Bagnato, Tracy Pitt, Carla M. Davis
2024· review· en· Current Opinion in Allergy and Clinical Immunology· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Social markers of acceptance in Japan: examining acceptance criteria for immigrants of different ethnocultural heritages / <i>Marcadores sociales de aceptación en Japón: examen de los criterios de aceptación de inmigrantes de diferentes herencias etnoculturales</i>
Adam Komisarof, Chan‐Hoong Leong, Travis Lim
2025· article· en· International Journal of Social Psychology Revista de Psicología Social· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Protect US racial affinity groups
V. Bala Chaudhary, Sora Kim, Mónica Medina, Diane S. Srivastava, Nikki Traylor‐Knowles, Marlene Brito-Millán +21 more
2025· letter· en· Science· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About