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Record W4388590311 · doi:10.11600/rlcsnj.22.1.5797

Crisis ecológica global y educación desde la perspectiva de las juventudes

2023· article· en· W4388590311 on OpenAlexaff
Pablo Aránguiz, Jorgelina Sannazzaro

Bibliographic record

VenueRevista Latinoamericana de Ciencias Sociales Niñez y Juventud · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Skills and Education
Canadian institutionsYork University
FundersSecretaría de Ciencia y Técnica, Universidad de Buenos AiresAgencia Nacional de Investigación y DesarrolloUniversidad de Buenos Aires
KeywordsHumanitiesPolitical scienceGeographySociologyArt

Abstract

fetched live from OpenAlex

(analytical)Considering the central role of young people in climate justice movements, this qualitative researchuses a just energy transition perspective to critically analyze intergenerational issues in relation to the ecological crisis. This research focuses on reflections co-produced with twelve young people from three South American countries who were participants in the "Education, youth and climate justice" laboratory that was part of the III Open Forum of Sciences of Latin America and the Caribbean, 2021 and organized by Unesco. The results identify young people as protagonists in just transition processes that affect them in the short, medium and long term. The results of the study point to the need to redefine the role of education in the construction of more just and sustainable societies.

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)0.001
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.004
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.372
Teacher spread0.331 · 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
Published2023
Admission routes1
Has abstractyes

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