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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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Innovation and Knowledge Management
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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
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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.

1,665 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.
1,665 works in the cohort · of 4,299,418page 33 of 34

Labels cover 8 of 1,665 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 1,665 of 1,665 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
Letter from the Editor
Alvaro Cuervo-Cazzura, Peter Ping Li, Xian, Jiangyong Lu, Gerry McDermott, Yeda Swirski de Souza +13 more
2015· letter· en· Management and Organization Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
An Economic Theory of Dynamic Capabilities
April Franco, Matthew Mitchell, Andrzej Skrzypacz
2016· book-chapter· en· Oxford University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Learning Stockholm 2012
2016· article· en· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
What to Do with Technology? From Valuation to Commercialization
Dafna Bearson, Bruno Cassiman, Simen Gaens, David H. Hsu, Seojin Kim, Jeroen Van den Bosch +1 more
2025· article· en· Academy of Management Proceedings· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Disruptive Timing
Leon Chu, Guang Li, Andy Wu, Brian Wu
2025· article· en· Academy of Management Proceedings· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Rise of Management Consulting
Matthias Kipping
2025· book-chapter· en· Oxford University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Future belongs to the real innovators
2003· article· en· Strategic Direction· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Theory of Visionary Disruption
Joshua S. Gans
2022· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Governance Role of Digital Technologies and Backshoring
Kossi Hyacinthe Boko, Sina Mirzaye, Muhammad Mohiuddin, Slimane Ed‐Dafali
2024· book-chapter· en· Advances in logistics, operations, and management science book series· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Overview
Wilfred J. Zerbe, Charmine E. J. Härtel, Neal M. Ashkanasy
2010· book-chapter· en· Research on emotion in organizations· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
TIM Lecture Series – Insights on Innovation
Ibrahim Gedeon
2014· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

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