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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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Cultural Insights and Digital Impacts
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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.

6,036 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.
6,036 works in the cohort · of 4,299,418page 61 of 121

Labels cover 22 of 6,036 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 6,036 of 6,036 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.

aboutno affunlabeled
Article
2016· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Propos et contredanses
Marc Hyland
2002· article· fr· Circuit Musiques contemporaines· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Anthropologie du numérique
Débora Krischke Leitão
2023· article· fr· Anthropen· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Introduction et présentation
Michèle Clément, Hervé Micolet
2013· article· en· Voix Plurielles· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Exploration de narrations vidéoludiques
Lescouet Emmanuelle, Amélie Vallières
2023· article· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Poésie, post-poésie, pornographie
Jean-François Puff
2021· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
La recherche : nourrir et enrichir son art
Carine Bonnefoy
2023· book-chapter· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · stsconsensus · none
0
citations
affunlabeled
La recherche-création littéraire
Violaine Houdart-Merot
2021· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
La loi est dure, mais c’est la loi
Frank Wagner
2005· article· fr· Protée· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Quand H. C. essaie de s’excuser…
Hélène Cixous
2015· article· fr· Études françaises· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
La régulation des réseaux sociaux
Yves Poullet, Marie-des-Neiges Ruffo de Calabre
2021· article· fr· Études· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Le début d’une belle amitié
Guy Berthiaume
2017· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
DE CUEILLEUR DE CERISES À ÉCRIVAIN
Marie-Pier Luneau
2018· article· fr· Voix et Images· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
S’évaluer : pourquoi ? comment ?
Jacques É. Ménard
2019· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Information Culture and Web 2.0
Yolande Maury
2021· article· en· IASL Annual Conference Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
L’influence d’ARMA International
Chantal Ménard
2020· article· fr· I2D - Information données & documents· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About