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Record W3005291815 · doi:10.1080/17461391.2020.1725136

The first elite sport training camp in France: Manitot (1912–1924)

2020· review· en· W3005291815 on OpenAlexaff
Jean‐François Loudcher, Fabian Thomas

Bibliographic record

VenueEuropean Journal of Sport Science · 2020
Typereview
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsEliteCoachingNewspaperAthletesRowingTraining (meteorology)PsychologyPolitical scienceVisual artsMedical educationHistoryArtMedia studiesSociologyMedicineLawPhysical therapyGeographyPolitics

Abstract

fetched live from OpenAlex

Abstract On the eve of the First World War, a wealthy director of a company, Antoine‐Lucien Boyer, has created at Manitot, a small village close to Paris on the riverside of the Seine opposite to Giverny, the first camp of coaching for athletes. Famous boxers like Billy Papke, Georges Carpentier, Eugène Criqui, and Bernard or runners like Jean Bouin have spent a while to prepare their competitions. Taking the opportunity of being at the countryside, these athletes did angling, rowing, and hunting in parallel to their specific sport preparation. Using different sources like newspapers ( L'Auto, L’écho des sports ), but also books and archives (public and privates), we aim at relating the history of this first sport camp of coaching and will try to understand the reasons of the landowner for launching this experience. Furthermore, we will review the methods of training and highlight a specifically French approach, based on an eclectic training method determined by health more than by performance.

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)0.018
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.073
GPT teacher head0.332
Teacher spread0.259 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2020
Admission routes1
Has abstractyes

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