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Record W4295225682 · doi:10.3917/spub.220.0002a

Téléconsultation - COVID-19 : Regards croisés patients, professionnels de santé (PS) en France et en Wallonie

2022· article· fr· W4295225682 on OpenAlexaff
Madeline Voyen, Marine Paridans, Benoît Pétré, Phi‐Linh Nguyen‐Thi

Bibliographic record

VenueSanté Publique · 2022
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsCentre Intégré de Santé et Services Sociaux de Chaudière-Appalache
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Medicine2019-20 coronavirus outbreakPolitical scienceVirologyOutbreakInternal medicine

Abstract

fetched live from OpenAlex

Le débat public a placé la question de la prise de décision en santé sur le devant de la scène, où les choix et leur mise en œuvre nécessitent, pour être compris et acceptés, une transparence allant avec leur médiatisation croissante. Dans ce contexte, le congrès 2021 de la Société Française de Santé Publique a posé la question de l'action face à l'incertitude et la controverse. Face à cet enjeu épistémique, le parti pris a été que la santé publique, en tant que champ pluridisciplinaire d’apport de connaissances sur la santé et ses déterminants, peut apporter un éclairage singulier. Dans la dynamique du congrès, un choix a été fait de donner la parole à un groupe de douze jeunes professionnel.le.s sur leur vision de l'avenir de la santé publique. Venue des champs des santés mentale et sexuelle et ayant vécu notamment une position de professionnelle, de chercheuse, de proche aidante et d'usagère, je profite ici de la naïveté que m'autorise mon statut de jeune professionnelle pour imaginer l'avenir.

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 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)0.023
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0130.000

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 head0.041
GPT teacher head0.449
Teacher spread0.408 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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