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Record W4394003279 · doi:10.7202/1100685ar

Méthode critique en études sémiotiques : programme pour un laboratoire disciplinaire

2023· article· fr· W4394003279 on OpenAlexvenueno aff
Simon Lévesque

Bibliographic record

VenueCygne noir · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicSemiotics and Representation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

En partant du constat que les études sémiotiques peinent à faire valoir leur pertinence sociale, cet article propose de définir une voie pratique de valorisation : le laboratoire de recherche spécialisé. La question de l’autonomie disciplinaire est abordée d’un point de vue sociologique. Un pont est ensuite jeté entre les sciences naturelles et les sciences humaines et sociales. Le fonctionnement des sciences idéoscopiques et cénoscopiques est ensuite comparé et une solution de continuité entre elles est avancée. Sur cette base, le travail du laboratoire d’études sémiotiques est défini d’après l’exigence critique propre aux sciences cénoscopiques. L’auteur développe un programme méthodologique orienté en fonction d’une tâche unique : la correction des interprétants. Cette tâche unique régissant le travail du laboratoire devrait informer le patron de ses manoeuvres pour l’existence, étant entendu que les interprétants dominants déterminent, parmi la diversité des mondes d’expérience, le sens commun. La pertinence sociale du laboratoire d’études sémiotiques dépend de cette exigence critique.

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)0.055
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.055
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.058
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0060.040
Scholarly communication0.0150.014
Open science0.0030.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0090.002

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 head0.076
GPT teacher head0.340
Teacher spread0.264 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations1
Published2023
Admission routes1
Has abstractyes

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