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Record W4403330278 · doi:10.7202/1113966ar

La génération de la localité

2024· article· fr· W4403330278 on OpenAlexaffvenueabout
Van Troi Tran

Bibliographic record

VenueEthnologies · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Depuis l’essor exceptionnel des microbrasseries au Québec depuis les années 1990, l’importance symbolique et identitaire des productions microbrassicoles québécoises n’est aujourd’hui plus à démontrer, et elles ont d’ailleurs déjà fait l’objet de nombreuses analyses sémiotiques et sociologiques. Cet article propose de se pencher sur un nouveau phénomène, celui de l’utilisation de levures sauvages pour la production de bières à fermentation spontanée. Alors que l’encadrement réglementaire défini par l’Agence canadienne d’inspection des aliments et imposé par la Régie des alcools, des courses et des jeux du Québec (RACJ) ne permettait pas originellement l’usage de levures sauvages selon l’interprétation de la RACJ, un assouplissement dans la lecture du règlement en 2017 a permis l’émergence de nouvelles pratiques brassicoles permettant la fermentation spontanée des brassins. Nous aborderons dans ce texte trois facettes de cette nouvelle vogue, soit l’inscription de ces pratiques brassicoles dans un mouvement « post-pasteurien » qui induit ses propres formes de spatialisation étant donné les spécificités matérielles de la bière sauvage, le développement d’un savoir-faire brassicole entre science et artisanat au contact d’actants vivants et souvent imprévisibles, et la dimension identitaire de cet usage des levures sauvages qui amènent à repenser la définition de la notion de terroir pour le monde brassicole.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.338
Threshold uncertainty score0.673

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.007
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.005

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 head0.042
GPT teacher head0.331
Teacher spread0.289 · 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 routes3
Has abstractyes

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