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Record W1583981851 · doi:10.7202/1027143ar

L’alimentation entre plaisir(s) et nécessité(s) en France et aux États-Unis

2014· article· fr· W1583981851 on OpenAlexvenueno aff
Faustine Régnier

Bibliographic record

VenueSociologie et sociétés · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

L’article examine la place respective tenue par le plaisir et la nécessité, et leur articulation au fil du temps, à partir d’un corpus de conseils d’économie domestique de 1200 pages, issu de la presse féminine française et américaine (Modes et TravauxetGood Housekeeping) entre 1934 et 2010. Partant d’un examen des termes employés pour indiquer d’une part le plaisir, d’autre part la nécessité, il montre les évolutions, à la fois dans la place tenue par le plaisir et par la nécessité, et dans les domaines où l’un et l’autre s’expriment (passage des contraintes liées au budget et à la satisfaction de besoins alimentaires de base à des injonctions diététiques et individualistes ensuite). S’inscrivant dans les analyses de N. Elias dansLa civilisation des moeursetLa dynamique de l’Occident, l’article met en évidence que l’expression de la nécessité et la place laissée au plaisir témoignent d’un travail de civilisation, dans lequel la contrainte implicite devient autocontrainte. L’article montre que le plaisir, plus récemment affirmé et mis en valeur, ne s’effectue jamais sans son articulation à la nécessité : un hédonisme, sans doute, mais contraint.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.007
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.137
GPT teacher head0.419
Teacher spread0.282 · 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 designObservational
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

Citations4
Published2014
Admission routes1
Has abstractyes

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