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Record W4393970629 · doi:10.7202/1100680ar

Croyances en crise dans le contexte de la Covid-19 en France : autoethnographie d’un pragmatiste contrarié

2023· article· fr· W4393970629 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCygne noir · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Political scienceHumanitiesPhilosophyArtMedicine

Abstract

fetched live from OpenAlex

Cette étude de sémiotique pragmatiste examine une confrontation de croyances au sujet de la crise sanitaire en France. De février 2020 à novembre 2022, l’auteur a assisté et participé à la montée de deux récits d’abord consensuels, puis antagonistes et finalement incompatibles. C’est la dynamique de ces récits croisés qui est explorée et analysée à partir des concepts peirciens de croyance, de doute et des quatre méthodes de fixation des croyances. L’étude aborde aussi les processus d’assertion et de discrédit réciproque des données, des informations et des désinformations. Les trois protagonistes des échanges n’échappent pas non plus à ces discrédits qui se déroulent dans un contexte de rapports de pouvoir où le doute est confronté à la montée du soupçon. Le corpus de la recherche est très situé, et même personnalisé, puisqu’il concerne la relation à distance de l’auteur avec deux interlocutrices. À sa façon réflexive, critique, mais aussi autocritique, cette étude porte sur la construction et la déconstruction des croyances en situation d’incertitude et d’inconnu provoquée par la crise de la Covid-19.

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)0.008
metaresearch head score (Gemma)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.080
GPT teacher head0.441
Teacher spread0.361 · 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