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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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Generational Differences and Trends
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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.

86 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.
86 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 86 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 86 of 86 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Gen Z: Where are we now, and future pathways
Ravikiran Dwivedula, Poonam Singh, Mehran Azaran
2019· article· en· RePEc: Research Papers in Economics· Social Sciences
distilled prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Z Kuşağının Dindarlık Eğilimleri
Sena Gökçe, İshak Tekin
2021· article· tr· TALIM JOURNAL OF EDUCATION IN MUSLIM SOCIETIES AND COMMUNITIES· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
7
citations
aboutno affunlabeled
Inspiring Gen Y employees
Nicholas Barnett
2014· article· en· Training & Development· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Transformational HR for Generation Z
Shivani Dhand, Rimpa Kar, Avtar Singh, Ujjwal Kumar Pathak, Aayushi Pandey, Simranjit S. Randhawa
2025· book-chapter· en· Advances in computational intelligence and robotics book series· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Engagement of Generation Z Learners
Dane Gunter, Nikhil S. Patil, Natasha Larocque
2022· book-chapter· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
venueno affunlabeled
Offline Activism
Vishaal Sehijpaul
2021· article· en· The Journal of Intelligence Conflict and Warfare· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Türkiye’de STS: Bilim ve Teknoloji Çalışmalarına Giriş
2020· book· tr· Istanbul Technical University Academic Open Archive (Istanbul Technical University)· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+open_science+research_integrity+insufficient_payloadconsensus · metaepi_narrow+sts+open_science+research_integrity+insufficient_payload
0
citations
aboutno affunlabeled
Ambition of young people - representatives of Y and Z generations
Оксана Васильевна Барсукова, Natalia Mozgovaya, Elena Scherbina, Ludmila Kosikova, Natalia Lomova
2020· article· en· E3S Web of Conferences· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Lost Seahorse
Lizeth Montoya
2021· preprint· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About