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Record W2012632842 · doi:10.3917/anso.112.0383

Max Weber, le charisme routinisé et l'armée de l'air. L'éducation charismatique au sein d'une école d'officiers

2011· article· fr· W2012632842 on OpenAlexaff
Clément Martin, Christophe Pajon

Bibliographic record

VenueL Année sociologique · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Résumé Le charisme apparaît de manière récurrente dans les discours de et sur les forces armées. L’obéissance à certains individus se voit parfois légitimée par les qualités exceptionnelles d’un individu « doué », « doté d’un rayonnement personnel ». Rompant avec cette conception « naturalisée » et « essentialisée » du charisme, cet article a un double objectif. D’une part, en s’appuyant sur le cas de l’armée de l’air, et plus particulièrement sur la structure de formation initiale de ses officiers, les développements suivants décriront l’émergence d’un charisme fondateur et sa routinisation progressive à travers différentes modalités. D’autre part, les auteurs se proposent d’offrir une opérationnalisation de l’un des concepts les moins étudiés de la sociologie de la domination wébérienne : celui d’éducation charismatique. Participant de l’émergence d’un charisme de fonction, elle aurait aussi pour conséquence la transmission de dispositions à percevoir le charisme.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.007
Scholarly communication0.0040.007
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.075
GPT teacher head0.279
Teacher spread0.205 · 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 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

Citations7
Published2011
Admission routes1
Has abstractyes

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