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Record W1928022298 · doi:10.3917/spub.102.0239

La politique de santé à l'université Paul Verlaine-Metz

2010· article· fr· W1928022298 on OpenAlexaboutno aff
Sylvie Vaillant

Bibliographic record

VenueSanté Publique · 2010
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCharterPolitical sciencePopulationPublic relationsHealth careSociologyPedagogyMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

Students represent a population group that is for the most part in good health. However, students also face specific stresses and constraints that are likely to make it difficult for them to adapt to student life, and these adjustments can lead to unhealthy behaviours. Within Universities, the implementation of a coherent health policy must aim to positively impact on the development of both the professional and daily lives of young adults. The University of Paul Verlaine in Metz (France) has taken this perspective on board, and under the leadership of its social health department, the whole University has adopted a comprehensive policy for student well-being under the five action areas of the Ottawa Charter. This approach to well-being as a public policy strategy, through the Healthy Life policy, is central to all decisions taken at the Metz University and throughout the Regional Centre for Scholars and University Students (CROUS) in Lorraine. A number of facilities dedicated to students' health and well-being have been created in this supporting environment, and the engagement of students in the Healthy Life policy (some students 'relay' the information, others are 'peer educators') show that they are involved in the community life of the University. The introduction of teaching modules by the University's health department has given access to training to increase students' awareness of the concept of a holistic approach to health. Finally students have had improved access to healthcare services thanks to an increase in the number of activities provided by the student health department focusing on common problems experienced by university students.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0580.006

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 head0.029
GPT teacher head0.410
Teacher spread0.382 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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