MétaCan
Menu
Back to cohort
Record W2991993122 · doi:10.7202/1067018ar

Ethnographie d’une mobilisation pour l’eau, bien commun dans les Alpes italiennes

2020· article· fr· W2991993122 on OpenAlexvenueno aff
M. Blanchard

Bibliographic record

VenueAnthropologie et Sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En 2011, un référendum d’initiative populaire contre la privatisation de l’eau s’est tenu en Italie. Sur tout le territoire national, des mouvements sociaux ont été à l’origine d’actions organisées pour sensibiliser la population à l’importance d’inscrire l’eau dans la sphère du commun. À partir d’une recherche ethnographique menée en 2011 sur la mobilisation dans la région alpine du Trentin, cet article se donne deux objectifs. D’une part, il examine la façon dont le discours sur l’eau, bien commun a été élaboré, en conjuguant trois arguments différents : la crise du néolibéralisme, la tradition alpine des biens communs et les luttes sociales des peuples andins. Il informe donc sur les dynamiques de « globalisation de l’ethnicité » dans nos sociétés contemporaines. D’autre part, il analyse comment le discours développé au sein de la mobilisation italienne pour l’eau, bien commun remet en question les transformations récentes du service public et propose une refonte de celui-ci. Le service public devrait dès lors inclure à la fois le bien (commun) qu’il faut gérer, le service qu’il faut octroyer et de nouvelles formes de gouvernance basées sur la participation citoyenne.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.007
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.226
GPT teacher head0.507
Teacher spread0.280 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAnthropologie et SociétésSame topicWater Governance and InfrastructureFrench-language works237,207