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Record W2592170385 · doi:10.5944/reec.28.2016.17087

Educación ciudadana y convivencia en contextos de violencia: desafíos transnacionales a la construcción de paz en escuelas de México

2016· article· es· W2592170385 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Española de Educación Comparada · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicEducation for Peace and Conflict Resolution
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

The paper examines teachers’ understandings of social conflicts, and their reported implemented curriculum regarding citizenship education, based on a series of focus group workshops with 5-6 interested teachers in each of three schools in marginalized, violent neighborhoods in one Mexican city. Teachers identified a variety of conflicts affecting their students, including direct violence (domestic/gendered, gangs, bullying) and social structural interest conflicts (emigration, pollution, drug trafficking, unemployment, labor exploitation). These conflicts’ transnational dimensions were generally not acknowledged. We argue that the imaginaries of conflict and democratic action shaping participants’ teaching practices were influenced by hegemonic neoliberal discourses of citizenship—detached from transnational social structural dynamics, with causal explanations and solution alternatives limited to individual values choices. Such a narrow, security-oriented approach to citizenship and convivencia education would function to govern marginalized populations more than to enhance democratic agency.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.319
Teacher spread0.303 · 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