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Record W2319760417 · doi:10.5477/cis/reis.146.191

Factores que inhiben la movilización social: el caso del área petroquímica de Tarragona

2014· article· en· W2319760417 on OpenAlexaff
Josep Espluga, Ana Prades

Bibliographic record

VenueDipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsPetro-Canada
FundersMinisterio de Ciencia e Innovación
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Los estudios sobre percepción social del riesgo se han solido centrar en el estudio de conflictos sociales motivados por tecnologías y eventos potencialmente peligrosos. En este artículo, en cambio, se intenta comprender por qué en determinados casos la población expuesta a un riesgo evidente no protesta ni se moviliza activamente en su contra. A partir de un estudio de caso en el área petroquímica de Tarragona, con datos de una serie de grupos de discusión (8) y de una encuesta por cuestionario (N=400), se analizan las percepciones y prácticas de la población en relación al riesgo. Los resultados han permitido descartar motivos de ignorancia de los riesgos y ponderar la importancia de los beneficios relacionados con la exposición al riesgo, así como comprender el papel fundamental de la confianza y de la dependencia en un contexto social e institucional caracterizado por una fuerte asimetría en las relaciones de poder.

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)0.001
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: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.278
Teacher spread0.271 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

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Same venueDipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)Same topicEnvironmental Justice and Health DisparitiesFrench-language works237,207