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Record W2796550342 · doi:10.4000/books.pum.4338

Politique de la science et de la technologie

2015· book-chapter· fr· W2796550342 on OpenAlexfundno aff
Pierre Doray, Yves Gingras

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2015
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignOrganisation de Coopération et de Développement ÉconomiquesUniversity of TorontoJohns Hopkins UniversityPrinceton UniversityUniversity of OxfordHarvard UniversityUniversity of CambridgeWayne State UniversityState University of New YorkStanford Bio-XStyrelsen för Internationellt Utvecklingssamarbete
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La science et la technologie ont rapidement fait l’objet de l’attention gouvernementale par de multiples voies : politiques militaires en temps de paix comme en temps de guerre, politiques de financement de la recherche universitaire, usage des marchés publics pour favoriser l’éclosion de certaines technologies, financement des projets de « big science », etc. (voir État, pouvoir et science). Globalement, il est possible de distinguer trois modes d’interventio

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.997
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.023
Scholarly communication0.0110.006
Open science0.0000.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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