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Record W2243203584

Développement stratégique du tourisme sportif de rivière par régulation corporatiste L'expérience du bassin de Saint Anne (Québec) appliquée aux Rivières de Provence

2004· article· fr· W2243203584 on OpenAlexaboutno aff
Bernard Massiéra

Bibliographic record

VenueAmericanae (AECID Library) · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

Cette tude est ralise dans le cadre des volonts institutionnelles locales de dvelopper le tourisme de plein nature en conciliant les proccupations de protection des espaces naturels.Les faiblesses organisationnelles de l'offre qui caractrise l'tat des lieux du tourisme sportif de rivire en Provence nous entrane la recherche de ses causes.Un recueil mthodologique d'lments informatifs, issus du contexte socio-conomique, guide notre rflexion vers l'origine des rsistances la structuration de l'offre.Cette rsistance dvoile le problme de la stratgie inhrente des acteurs de l'offre ludosportive.L'analyse dmontre que les rsistances au dveloppement de l'offre de tourisme sportif de rivire se rvle principalement d'origine sociale, manant de la pluralit des acteurs locaux et de leurs difficults intgrer une dynamique stratgique commune.Un rapprochement avec l'exprience de la gestion du bassin versant de la rivire Sainte-Anne au Qubec, prconise d'inscrire le plan d'action stratgique dans une dmarche corporatiste.Adopter ce mode de rgulation sociale faciliterait le dveloppement stratgique du secteur touristique des sports d'eaux vives en Provence en valorisant une identit de territoire autour de la rivire.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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
Published2004
Admission routes1
Has abstractyes

Explore more

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