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Record W4407083928 · doi:10.7202/1115802ar

La morale de la sobriété : s’adapter au milieu, limiter ses besoins, les satisfaire soi-même

2024· article· fr· W4407083928 on OpenAlexvenueno aff
Violeta Ramirez

Bibliographic record

VenueLien social et Politiques · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSilicon on insulatorAdapter (computing)LimiterArtPhysicsTelecommunicationsOptoelectronicsElectrical engineeringComputer scienceEngineering

Abstract

fetched live from OpenAlex

L’adhésion à l’imaginaire de la sobriété suppose la critique de certaines valeurs fondamentales de la société moderne capitaliste, telles que le confort matériel et la liberté. Les praticiens de la sobriété évaluent leurs choix de consommation et de travail en fonction d’un critère principal, l’adaptation de la culture humaine au caractère fini des ressources naturelles. Dès lors, ils cherchent à limiter leurs besoins matériels et à les satisfaire autant que possible eux-mêmes, pour contrôler au mieux les impacts environnementaux de leur mode de vie. Par rapport à la culture capitaliste, l’imaginaire de la sobriété définit autrement ce qui a de la valeur, impliquant une divergence des idées de bien-être et, même, du bien entre la société dominante et les individus aspirant à un mode de vie sobre. L’enquête ethnographique multi-site que nous avons menée en France vers 2015 a montré qu’il existe une grande diversité de formes de mise en oeuvre de la contrainte de la sobriété, en fonction des dispositions et aspirations sociales, du lieu de résidence et des moyens financiers. L’enquête a également permis d’identifier les limites et défis relatifs à la mise en acte de la morale de la sobriété.

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)0.006
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.029
Scholarly communication0.0080.005
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.045
GPT teacher head0.340
Teacher spread0.295 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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