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Record W4411400114 · doi:10.24215/26183188e130

“La solución al oligopolio de publicaciones científicas es reinvertir en plataformas nacionales que nos pertenezcan colectivamente”

2025· article· es· W4411400114 on OpenAlex
Lucía Céspedes, Santiago Liaudat, Vincent Larivière

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCiencia, tecnología y política/Ciencia, tecnología y política · 2025
Typearticle
Languagees
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité de MontréalSociété de Transport de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Entrevista con Vincent Larivière, experto reconocido mundialmente en temas de acceso abierto, publicaciones científicas, multilingüismo y sociología de la ciencia. Doctor en Ciencias de la Información por la Universidad McGill, detenta la Cátedra UNESCO sobre la Ciencia Abierta y es co-titular de la Cátedra de investigación de Québec sobre la descubrabilidad de contenidos científicos en francés [Chaire de recherche du Québec sur la découvrabilité des contenus scientifiques en français]. También es profesor en la Escuela de Bibliotecología y Ciencias de la Información de la Universidad de Montréal, Director Científico del consorcio editorial Érudit, y vicedirector científico del Observatorio de Ciencia y Tecnología de la Universidad de Québec en Montréal. En esta entrevista, nos enfocamos en las publicaciones científicas, la evaluación y los indicadores de CyT, y las propuestas de la ciencia abierta.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.007
Science and technology studies0.0030.005
Scholarly communication0.0050.005
Open science0.0080.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.315
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it