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Record W4411805120 · doi:10.3917/spub.pr2.0075

SeSaME : Service Sanitaire, un Modèle validé par les Étudiants d’une faculté de médecine, bilans et perspectives

2025· article· fr· W4411805120 on OpenAlexaboutno aff
Pierre-Henri Ducluzeau, H. Marret, P. Diot, Mario Cazenabe, Andrew Anouti, Emmanuel Rüsch, Leslie Grammatico‐Guillon

Bibliographic record

VenueSanté Publique · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)Business

Abstract

fetched live from OpenAlex

INTRODUCTION: Thirty years after the Ottawa Charter, a cultural revolution is still considered necessary to reorientate the healthcare system towards a more preventive approach. The Health Prevention Service is part of this approach, but its implementation since 2018 has varied depending on the region, course of study and training establishment. In 2021-2022, 297 third-year medical students in Tours will have developed 94 interventions, 43 of which will be interprofessional. It seems essential to evaluate the proposed organisation from the students' point of view. METHODS: An annual descriptive study using questionnaires explored the level of student satisfaction with the teaching support, the associated lectures and resources offered, the intervention developed and the interprofessional approach. RESULTS: In 2021-2022, among the 118 respondents, 83.1% were satisfied with the overall support offered and 88.1% were fairly or very satisfied with the project developed. Depending on the conference, between 19.5% and 39.8% of students said they had not attended. Those who did attend appreciated them overall, with a greater general interest in the thematic ones. The tutorial support provided was considered too repetitive or represented essential stages in the progress of the projects. The negative aspects expressed were mainly related to students' regional assignments, interprofessionality and associated administrative aspects such as advance payment of travel expenses Discussion: The organisation deployed over the last 3 years has resulted in a good level of student satisfaction and deserves to be continued, while proposing areas for improvement in terms of interprofessional issues.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.404
Teacher spread0.372 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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