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Record W2969905105

Quelles sont les connaissances en alimentation des jeunes sportifs martiniquais âgés de 9 à 15 ans ? Diagnostic préalable à l'élaboration d'un projet sur l'alimentation des jeunes sportifs en Martinique

2015· preprint· fr· W2969905105 on OpenAlexaboutno aff

Bibliographic record

VenuePublications Et Travaux Academiques de Lorraine (Universite de Lorraine) · 2015
Typepreprint
Languagefr
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

La Martinique compte 64 000 licences sportives en 2013. Les jeunes de 5 a 19 ans constituent 58% des licences. La nutrition est un enjeu majeur aux Antilles du a la prevalence de l'obesite et du surpoids. Le Comite Regional Olympique et Sportif de Martinique s'est interesse a l'alimentation des licencies de 9 a 15 ans. Les remontees des acteurs de terrain evoquent le fait que leur alimentation est inadaptee. Nous avons realise un etat des lieux des connaissances alimentaires des sportifs âges de 9 a 15 ans. Ils ont ete interroges a l'aide d'un questionnaire s'inspirant du General Nutrition Knowledge Questionnaire, incluant des questions frequentielles et de connaissances. Les resultats montrent des apports insuffisants en nutriments essentiels et trop riches en sucres et en graisses. Nous avons constate un manque de connaissances sur le contenu nutritionnel des aliments avec de meilleurs resultats chez les filles que chez les garcons. Nous souhaitons par la suite realiser un programme a destination des jeunes sportifs martiniquais s'inspirant des principes de la Charte d'Ottawa, afin de leur permettre un acces aux informations necessaires et de s'alimenter en connaissance de cause.

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)0.012
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.007
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.320
Teacher spread0.267 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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