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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 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)0.010
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.029
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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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