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Pouvoir et emprise du sport: Pour une histoire croisée du tourisme et du sport depuis le XIXe siècle, par Gil Mayencourt, Sébastien Cala, Anna Amacher Hoppler et Claude Hausser (dir.)

2025· article· fr· W4416193754 on OpenAlexvenueno aff
Malek Bouhaouala

Bibliographic record

VenueAnthropologica · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Power (physics)Identity (music)

Abstract

fetched live from OpenAlex

L 'objectif gnral de cet ouvrage collectif est de clarifier, du point de vue de l'histoire sociale et culturelle, la relation entre le sport et le tourisme partir de leurs dveloppements en Suisse.Compos de 16 contributions, hors introduction et pilogue, l'ouvrage comprend un cadrage thorique suivi de trois parties.Ces dernires renvoient une organisation des contributions en trois chelles d'analyse correspondant aux rles des espaces, des institutions et des individus qui ont particip l'mergence et au dveloppement de cet important domaine d'activit socio-conomique.La partie dite cadrage s'attache expliciter la pertinence d'une approche conceptuelle fonde, d'une part, sur l'hypothse de l'association du sport et du tourisme, et d'autre part, sur la mobilisation de trois niveaux d'analyse : l'individu, l'espace, l'institution.Il s'agit de montrer, sans les articuler explicitement, les rles distincts, mais complmentaires, de ces niveaux dans la construction d'une offre touristico-sportive .De plus, les auteurs visent apprhender cette relation en la considrant comme oscillant entre collaboration et confrontation (p.17).Ceci me semble difficilement tenable, car le tourisme sportif a t plutt fond sur la convergence de logiques sociologique et conomique communes aux deux sphres d'activits.On comprend alors que l'objectif de ce cadrage conceptuel est de traiter partir de travaux historiographiques les questions pineuses qui ont anim les nombreux travaux de dfinitions du tourisme sportif (voir le Journal of Sport & Tourism, la revue Toros, etc.) : qui du tourisme ou du sport a intgr l'autre ?Le sport a-t-il t au service du tourisme ou le tourisme a-t-il permis la diversification du sport ?Quels rles ont jou les individus, les socits et les marchs dans cette dynamique ?

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.009
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.312
Teacher spread0.295 · 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
Published2025
Admission routes1
Has abstractyes

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