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Record W2734813054 · doi:10.3917/flux1.108.0022

Des pratiques citoyennes en régime industriel : les courts-circuits du compost

2017· article· fr· W2734813054 on OpenAlexaff
Aurélie Dumain, Laurence Rocher

Bibliographic record

VenueFlux · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’article porte sur le développement des pratiques de compostage collectif, analysé à partir d’une étude ethnographique menée dans l’agglomération lyonnaise. Il décrit comment des pratiques de détournement des matières fermentescibles des flux de déchets initiées par des habitants et des associations, tendent à être reconnues et institutionnalisées tout en faisant l’objet d’une régulation assez poussée. Cet article propose une analyse des régimes de circulation des déchets à partir d’une observation des opérations par lesquelles des acteurs s’organisent pour faire circuler d’une autre manière les déchets organiques, les détourner d’un régime de circulation qualifié d’« industriel » et les introduire dans un autre circuit, qu’il s’agit de faire advenir, défini comme « proche » et « militant ». Nous montrons comment la mise en circulation de ces matières consiste à « court-circuiter » le système sociotechnique établi de la gestion des déchets, tout en s’y ajustant, et combien à travers la dimension matérielle de ces déchets sont engagés des circuits multiples et imbriqués : d’ordre financier, éthique, écologique, social et politique.

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)0.005
metaresearch head score (Gemma)0.011
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: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.023
Scholarly communication0.0130.008
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.072
GPT teacher head0.294
Teacher spread0.222 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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