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Record W2737527520 · doi:10.7202/1034954ar

Les mensonges que l’on écrit pour se sentir honnêtes

2016· article· fr· W2737527520 on OpenAlexvenueaboutno aff
Lorne Huston

Bibliographic record

VenueInternational Review of Community Development · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

À partir de la comparaison de trois journaux produits à Montréal, l’un journal militant « non-aligné », l’autre, revue alternative et le troisième, journal communautaire de quartier, l’auteur s’interroge sur le statut du discours prôné par chacun de ces médias écrits. Que révèlent-ils du rapport qu’ils établissent à leurs lecteurs ? Écrire pour le mouvement syndical et populaire, l’alternative douce et subversive, ou la participation des citoyens, n’est-ce pas là produire autant des mensonges que des vérités ? Créer un message, c’est d’abord se créer soi-même, affirmer sa propre existence avant celle de la situation que l’on décrit. Et dans ce sens, tout message est mensonge. Mais ces mensonges sont aussi des résistances aux mensonges des autres qui nient les vérités que l’on vit. Refuser le silence, chercher à parler de ses propres réalités, n’est-ce pas refuser d’être complices des mensonges du pouvoir des autres, essayer de se sentir honnêtes ?

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0020.005
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.003

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 head0.104
GPT teacher head0.364
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueInternational Review of Community DevelopmentSame topicLinguistics and Discourse AnalysisFrench-language works237,207