MétaCan
Menu
Back to cohort
Record W3016602486 · doi:10.14295/ambeduc.v25i1.11117

La resistencia social en contexto de conflicto socio-ecológico: un crisol de desarrollo de las dimensiones crítica y política de la educación ambiental

2020· article· es· W3016602486 on OpenAlexaffabout
Isabel Orellana, Laurence Brière, Felipe Rodríguez Arancibia

Bibliographic record

VenueAmbiente & Educação · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Issues and Sustainability
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Exponemos elementos de la investigación «Resistaction - Extractivismo, conflictos socioecológicos y emergencia de alternativas: dimensiones crítica y política de la educación ambiental en la resistencia social» (2018-2023), que se propone explorar los procesos de co-aprendizaje, de formación ecociudadana y de innovación social forjados en el seno de los movimientos sociales de resistencia al despliegue del modelo extractivista en Québec (boom minero-energético) y Chile (extractivismo exacerbado-cuna del modelo neoliberal). Se adoptan las perspectivas etnográfica y fenomenológica para el proceso de levantamiento y validación de los datos (entrevistas semi-dirigidas, discusiones grupales y observación participante), que se realiza arrimándose a las agendas de actividades de los movimientos sociales de los dos terrenos previstos, concebido como un proceso de diálogo reflexivo con los actores sociales en sus propios contextos.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.084
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0090.030
Scholarly communication0.0140.008
Open science0.0010.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.383
Teacher spread0.357 · 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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueAmbiente & EducaçãoSame topicSocial Issues and SustainabilityFrench-language works237,207