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Record W7048775895

\n Communication pour la santé : construction d’un champ de\n recherche et d’intervention\n

2020· article· fr· W7048775895 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueÉrudit (Université de Montréal) · 2020
Typearticle
Languagefr
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsOrganizational communicationCommunication studiesSpeech communicationSocial mobilizationCommunications management
DOInot available

Abstract

fetched live from OpenAlex

Dans cet article, une définition du champ de recherche et d’intervention sur la communication pour la santé est d’abord proposée. Ce champ consiste en l’étude et l’utilisation de stratégies de communications interpersonnelles, organisationnelles et médiatiques visant à informer et à influencer les décisions individuelles et collectives propices à l’amélioration de la santé. La communication pour la santé est un processus transversal et spécifique. Puis, l’examen du contexte de développement de la communication pour la santé à l’Université du Québec à Montréal (UQAM) sera présenté selon deux axes : l’état de la recherche de ce champ et les intérêts de l’UQAM, plus particulièrement ceux du Département de communication sociale et publique. Enfin, l’évolution de la recherche réalisée au Centre de recherche sur la communication et la santé (ComSanté) avec les partenaires issus des milieux de santé et médiatiques est décrite. Le modèle intégrateur du processus de l’implantation d’une norme sociale grâce aux communications est par ailleurs proposé.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.245
Teacher spread0.210 · 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