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Record W266986670 · doi:10.4000/aad.1978

L’ethos collectif des guerrilla gardeners à Montréal : entre conflictualité et inclusion

2015· article· fr· W266986670 on OpenAlexaboutno aff
Anna Giaufret

Bibliographic record

VenueArgumentation et analyse du discours · 2015
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsEthosInclusion (mineral)SociologyHumanitiesPolitical sciencePhilosophySocial scienceLaw

Abstract

fetched live from OpenAlex

Le mouvement de la Guerilla gardening est défini comme un « mouvement d’activisme politique, utilisant le jardinage comme moyen d’action environnementaliste » afin de créer « dans les villes des espaces communautaires conviviaux et de bousculer les limites de la propriété privée » (Wikipedia). Né à New York dans les années soixante-dix, il s’est répandu sous sa forme actuelle partout dans le monde, notamment en Amérique du Nord, se réclamant de deux textes fondateurs (Tracey 2007, Reynolds 2008). Nous analysons ici la question de l’ethos collectif auto- et hétéro-attribué dans le cadre du mouvement de la guérilla jardinière tel qu’il se manifeste à Montréal, à partir d’un corpus de travail qui se compose d’un ensemble de textes numériques (blogues, forums, pages web) autour du mouvement de la Guerrilla gardening. Notre travail se situe au croisement de l’analyse du discours et de la sociolinguistique urbaine. Nous montrons comment les notions d’identité collective et d’ethos peuvent être confrontées dans le contexte de mouvements ayant un caractère anarchique et proposons pour ceux-ci le terme de nébuleuse ethotique.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0150.015
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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