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Record W3116313379 · doi:10.1080/07053436.2020.1849158

Procès de civilisation et transformations sociales; une discussion de la théorie de Norbert Elias dans le domaine du sport

2020· article· fr· W3116313379 on OpenAlexvenueno aff
Jean‐François Loudcher

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicDeath, Funerary Practices, and Mourning
Canadian institutionsnot available
Fundersnot available
KeywordsCivilizationGermanPoliticsHumanitiesSociologyEpistemologyPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Norbert Elias’ theory of the civilizing process is still relevant in the social sciences of sport, as evidenced by the many current references. However, the numerous studies carried out over the past thirty years show some limitations in this area. How can we explain its persistence?After recalling the plan of the German sociologist to explain the creation of English sport in the seventeenth and eighteenth centuries by a transformation of morals which, after experiencing the violent time of the Antique Games, committed itself at the end of the Middle Ages, this study reflects some inconsistencies through the historical and epistemological analysis of key concepts such as sport, sportivization, configuration and violence. A profoundly ambiguous approach is then highlighted between, on the one hand, the process of transformation which, purporting to be linear, is based on apparently solid socio-political and economic analyses and, on the other hand, the appearance of new objects to be highlighted by epistemic ruptures. If this blind point, therefore, opens up many erroneous interpretations, also often participating in strengthening the theory of the civilizing process, its analysis should make it possible not to deny the validity of the Eliasian scheme, but to enrich it and to overcome it.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0070.079
Scholarly communication0.0070.009
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.318
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2020
Admission routes1
Has abstractyes

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