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Record W2987436536 · doi:10.1080/07053436.2019.1682264

De la rue et des skateparks aux musées : de l’influence d’une recherche ethnographique

2019· article· fr· W2987436536 on OpenAlexvenueno aff
Marc Touché

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2019
Typearticle
Languagefr
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionSociologySeriousnessObject (grammar)AdventureLuckMedia studiesHumanitiesVisual artsArt historyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

The author draws on professional experience from the late 1980s to the mid-2000s. He held a special institutional position that combines life as a sociologist in the field with participants in varied lifestyle in museums: collector of objects and archives, scenographer, designer, exhibition installer and creator of collections documented by surveys. He proposes the analysis of the entry of skateboarding into a French national museum (the MNATP in Paris, which became Le MuCEM in Marseille), as well as to question, on the one hand, a manufacturing company in the history of skateboarding seen from a French perspective in its complexity, and, on the other hand, an activity of creation and exhibition installation that is finalized by an action of both material and immaterial heritage enhancement. What to select and conserve? What is a beautiful object for a researcher, for a museum curator? The article tries to shed light on the complex processes of recognition, legitimization (in which the author participates), of a leisure activity on the border of play and sport, of the educated and the popular, of seriousness and futility, of a practice that has often claimed to be alongside or against institutions such as sports: a human and intellectual adventure that has tried to combine scientific content and value for the general public and practitioners.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.003
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 head0.074
GPT teacher head0.418
Teacher spread0.344 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

Explore more

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