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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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Software Engineering Techniques and Practices
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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.

1,138 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.
1,138 works in the cohort · of 4,299,418page 13 of 23

Labels cover 1 of 1,138 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 1,138 of 1,138 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
XP requirement negotiation workshop
Steven Fraser, Giancarlo Succi
2002· article· en· ACM SIGAPP Applied Computing Review· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Developing a Glossary for Software Projects
Tamer Abdou, Pankaj Kamthan, Nazlie Shahmir
2018· book-chapter· en· Advances in computer and electrical engineering book series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
aboutno affunlabeled
Software Productivity Center Inc.
Wolfgang Strigel
2002· other· en· Encyclopedia of Software Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
IEEE-CS/ACM computing curricula
Ann E. Kelley Sobel, Timothy C. Lethbridge
2003· article· en· ACM SIGCSE Bulletin· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Hybrid Labels are the New Measure!
Maleknaz Nayebi, Shaikh Jeeshan Kabeer, Guenther Ruhe, Chris Carlson, Francis Chew
2018· article· en· IEEE Software· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Analyzing the Cost and Benefit of Pair Programming Revisited
Lev Faynshteyn, Vojislav B. Mišić, Jelena Mišić
2012· article· en· JITA - Journal of Information Technology and Applications (Banja Luka) - APEIRON· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Software engineering body of knowledge (SWEBOK) (panel session)
Donald J. Bagert, Hossein Saiedian, Robert Dupuis, Mary Shaw, Peter A. Freeman, J.B. Thompson
2001· article· en· International Conference on Software Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affno abstractunlabeled
An undergraduate course in software design
Daniel Hoffman
2006· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
Developing a Glossary for Software Projects
Tamer Abdou, Pankaj Kamthan, Nazlie Shahmir
2017· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
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How this was built: Screen · Findings · About