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Penser le plagiat à la lumière du cadre normatif du régime contemporain des savoirs scientifiques

2015· article· fr· W2266484090 on OpenAlex

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.

Bibliographic record

VenueQuestions de communication · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

La notion de plagiat est très loin d’être neutre. L’importance qui lui est accordée par la déontologie universitaire et scientifique indique que le plagiat touche un point très sensible du régime actuel des savoirs scientifiques. Selon l’interprétation proposée ici, ce régime est en tension entre l’ethos de la science moderne, avec son idéal de « communisme », et l’avènement de l’économie de la connaissance. Cette dernière conduit les scientifiques à oublier la dimension contributive de leur travail, à assimiler le fait d’être auteur et la propriété intellectuelle et à s’indigner du plagiat plutôt qu’à se battre pour l’idée que les savoirs scientifiques sont des biens communs. Le libre accès permet, oui, de lutter techniquement contre le plagiat. Mais la science ouverte engagée et l’utilisation des licences Creative Commons permettent de repenser son statut au sein de l’ethos scientifique et de revaloriser la dimension commune du travail scientifique.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.306
Teacher spread0.257 · 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