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Perceptions populaires du risque et savoirs experts en contexte de pandémie : le cas du A(H1N1) au Québec

2011· article· fr· W1587109049 on OpenAlex
Raymond Massé, Daniel Weinstock, Michel Désy, C. Moisan

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnthropologie et santé · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversité de MontréalInstitut National de Santé Publique du QuébecUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

La pandémie A(H1N1) de 2009 a mis en évidence les limites des stratégies de communication du risque tout en ravivant l’intérêt pour une analyse des perceptions populaires du risque. Au Québec, la campagne de vaccination de l’automne 2009 fut le théâtre de la circulation d’informations perçues souvent comme contradictoires sur le risque épidémique. Dans le cadre de dix focus groups organisés à Montréal et à Québec dans les mois qui ont suivi la fin de la campagne de vaccination, 100 Québécois francophones ont été invités à débattre de leur perception tant du risque associé au virus et au vaccin que de la gestion qui en fut faite par les autorités de santé publique. L’article analyse ces perceptions, en illustre la diversité et montre que diverses logiques cohabitent dans un savoir populaire marqué d’une certaine réflexivité. L’article conclut sur certaines leçons à tirer pour les stratégies de communication du risque épidémique.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.001

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 head0.068
GPT teacher head0.410
Teacher spread0.342 · 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