MétaCan
Menu
Back to cohort
Record W2342230952 · doi:10.3917/spub.161.0033

Sensibiliser aux environnements favorables aux saines habitudes de vie : évaluation d’une intervention auprès des personnes-relais

2016· article· fr· W2342230952 on OpenAlexaboutno aff
Virginie Roy, Marie-Claude Rivard, François Trudeau

Bibliographic record

VenueSanté Publique · 2016
Typearticle
Languagefr
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

BACKGROUND: Around the world, various interventions have been developed to encourage the adoption of healthy lifestyles, particularly nutrition and physical activity. Physical, political, economic and socio-cultural environments have a major influence on individual attitudes in relation to healthy lifestyle. However, stakeholders with the greatest impact on improving these environments are not always well informed about the theory and their roles on the creation of environments favourable to healthy lifestyles. Various stakeholders from the province of Quebec were therefore invited to attend training sessions in order to prepare them to act on these four environments. OBJECTIVES: 1) To describe the perceptions of the stakeholders who attended these sessions concerning the content and teaching methods and 2) to identify stakeholders’ changes of perceptions and practices following the training session. METHODS: Twelve (12) focus groups and 52 individual interviews were conducted across Quebec with stakeholders who attended a training session. RESULTS: Our results indicate increased awareness of stakeholders on the importance of their role but also the need to more precisely target those aspects requiring increased awareness. A content better suited to the level of expertise is therefore proposed to maximize the benefits of these training sessions. CONCLUSION: Training sessions must be addressed to influential stakeholders with a limited knowledge on the subject, which is often the case for municipal decision-makers known to play a major role in promoting environments favourable to healthy eating and physical activity.

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)0.002
metaresearch head score (Gemma)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.054
GPT teacher head0.340
Teacher spread0.286 · 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 designOther design
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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSanté PubliqueSame topicPhysical Activity and HealthFrench-language works237,207