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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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The Learning Organization
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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.

46 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.
46 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 46 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 46 of 46 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
The shift needed for sustainability
Peter A.C. Smith, Carol Sharicz
2011· article· en· The Learning Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
273
citations
affaboutunlabeled
Intellectual capital in Egyptian software firms
Ahmed Seleim, Ahmed Ashour, Nick Bontis
2004· article· en· The Learning Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
113
citations
affunlabeled
Semantic networks and social networks
Stephen Downes
2005· article· en· The Learning Organization· Computer Science
machine prediction:candidate · noneconsensus · none
97
citations
affunlabeled
Knowledge sharing and strategic capital
Peter A.C. Smith
2005· article· en· The Learning Organization· Social Sciences
machine prediction:candidate · noneconsensus · none
67
citations
affunlabeled
Learning in strategic alliances
Abhijit Ghosh
2004· article· en· The Learning Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Management planning and control
Irene M. Herremans, Robert G. Isaac
2005· article· en· The Learning Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Elements of organizational sustainability
Peter A.C. Smith
2011· article· en· The Learning Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Social networking sites as a learning tool
Noelia Sánchez-Casado, Anthony Wensley, Eva Tomaseti Solano
2016· article· en· The Learning Organization· Social Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Internal and external pressures
Carolina Turcato, Luciano Barin‐Cruz, Eugênio Ávila Pedrozo
2011· article· en· The Learning Organization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
The bi‐modal organization
Peter A.C. Smith, Carol Sharicz
2013· article· en· The Learning Organization· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About