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Record W4405612508 · doi:10.7202/1114866ar

« Cabine pressurisée, sérénité totale »

2024· article· fr· W4405612508 on OpenAlexvenueno aff
Carolina Castellitti

Bibliographic record

VenueAnthropologie et Sociétés · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGensEthnologyArtSociology

Abstract

fetched live from OpenAlex

À partir d’une perspective phénoménologique qui considère la relation entre le corps, la perception et l’environnement, cet article analyse le sens du travail du personnel navigant commercial en tant que formateur d’une identité singulière. M’appuyant sur une enquête de terrain réalisée dans la ville de Rio de Janeiro (Brésil) avec d’anciens travailleurs de Varig, importante compagnie aérienne privée qui a cessé ses activités en 2006, je prends au sérieux l’expression fréquemment utilisée par eux selon laquelle « les gens qui volent sont différents des gens qui marchent ». L’analyse met en évidence le rôle de l’air comme élément physique et symbolique d’une manière d’habiter le monde à travers le « vol », avec la médiation de l’avion, un dispositif technique qui, malgré sa complexité, devient un espace quotidien de travail. Prendre ces éléments comme point de départ sert ici de coup d’envoi méthodologique et théorique pour considérer la singularité des sens et des pratiques où l’air, le vol et le ciel intègrent une culture environnementale dynamique et créative.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.013
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.270
GPT teacher head0.558
Teacher spread0.288 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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