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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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Innovation, Technology, and Society
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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.

126 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.
126 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 126 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 126 of 126 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
Duale Berufsbildung und Innovation
Uschi Backes-Gellner, Christian; id_orcid 0000-0002-1745-520X Rupietta
2014· article· de· Research Portal (Queen's University Belfast)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Symposium 4: Mobile work-learning
Terrie Lynn Thompson
2014· article· en· Proceedings of the International Conference on Networked Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Research Evidence
Anthea Innes, Debra Morgan, Jane Farmer
2020· other· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Transformation und Krise der Sorgearbeit
Christian Berger, Nina‐Sophie Fritsch, Katharina Mader
2022· preprint· de· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Einleitung: Wie wir Arbeit besser machen
Dalia Gesualdi‐Fecteau, Christian Lévesque, Gregor Murray, Nicolas Roby
2023· article· de· Transfer European Review of Labour and Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Early Childhood Studies
2013· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Anhang: Das Arbeitsumfeld bewerten
Christina Maslach, Michael P. Leiter
2001· book-chapter· de· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Drivers and Conditions for Innovation
2024· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ausstieg oder Einstieg?
Bernd W. Schneider, Matthias Kuschel
2011· article· de· Nachrichten aus der Chemie· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Der kleinste Roboterarm der Welt
Stefan Roschi
2017· article· de· Konstruktion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Social Entrepreneurship
Robert A. Stebbins
2022· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Internet Support Groups
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Inventor Networks
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Social Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affno abstractunlabeled
Inventor Networks
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mobility/Activity Diary
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Editorial: Social Innovation (September 2008)
Dru Lavigne, Tony Bailetti
2008· editorial· en· ˜The œopen source business resource· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Conclusion and Implications
Lynn McAlpine, Cheryl Amundsen
2017· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
How WEIRD is Research on Social Innovation?
Ian P. McCarthy
2025· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
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How this was built: Screen · Findings · About