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Record W1692137881 · doi:10.4471/remie.2015.02

Bringing a Counter-hegemonic Pedagogy to Scale in Mexican Public Schools

2015· article· en· W1692137881 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

VenueMultidisciplinary Journal of Educational Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsGrassrootsHegemonyPedagogySociologyPoliticsPower (physics)Critical pedagogyScale (ratio)Critical theoryPolitical scienceGeography

Abstract

fetched live from OpenAlex

How and under what conditions can a counter-hegemonic pedagogy, that is, a pedagogy that is qualitatively distinct from the dominant institutional culture and power relations of schooling, be brought to scale? This paper addresses this question by using the Learning Community Project (LCP) in Mexico as a case study. LCP started in 2004 as a grassroots initiative to promote a pedagogy of tutorial relationships of dialogue and reciprocal learning. This practice disseminated across hundreds of schools in five years and, in 2009, it inspired the creation of a nation-wide strategy to radically transform teaching and learning in nine thousand schools across Mexico. By integrating theory and knowledge on instructional improvement and widespread cultural change, this paper examines the role of a critical community in developing a counterhegemonic pedagogy, and the strategies and conditions that enabled its dissemination in the social, political, and pedagogical arenas.

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)0.009
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.488
GPT teacher head0.576
Teacher spread0.087 · 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