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Record W6981502141

Emergent Identities and Representations in ELT in Minority Language Contexts in Northern Mexico

2015· other· en· W6981502141 on OpenAlexfundaboutno aff

Bibliographic record

VenueYorkSpace (York University) · 2015
Typeother
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
FundersUniversidad de SonoraConsejo Nacional de Ciencia y TecnologíaYork University
KeywordsGovernment (linguistics)IndigenousRepresentation (politics)Subject (documents)Participant observationFrame (networking)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

In the early 2000s, Mexico experienced a series of changes modelled after UNESCO’s guidelines for intercultural education, which necessitated the establishment of the General Office of Intercultural Bilingual Education. This institution aims to provide indigenous students with education that acknowledges their cultural identity, language, knowledge, and attitudes. Another parallel change occurring in Mexico stemmed from the North American Free Trade Agreement (NAFTA) with Canada and the United States. NAFTA impacted Mexican educational policy by incorporating the teaching of English at the state and national levels beginning in public elementary schools. 
\nAdopting an interdisciplinary approach, this dissertation explores the role of English Language Teaching (ELT) in a community in northwestern Mexico where a minority language – Mayo – was taught alongside English. The research also seeks to unfold the discourse(s) embodied in the representation of minority students and languages in Mexico through the analysis of policy documents used in Intercultural Bilingual Education (IBE) programs, as well as in the attitudes of the teachers and stakeholders involved in them. I also look at representations of indigenous people in two texts designed by IBE for the Mayo community. 
\nThis dissertation incorporates an ethnographic study that uses participant observations in Mayo and English language classes and semi-structured interviews with teachers and stakeholders attached to a rural school in northwestern Mexico as primary data collection strategies. Policy documents and curricular materials are analyzed using the tools of Critical Discourse Analysis.
\nThrough qualitative data analysis, we discover how the nation-state instantiates a particular Mexican identity and perpetuates stereotypes of indigenous minorities through policy documents and curricular texts. At the same time, the data obtained through ethnographic fieldwork indicate that teacher agency was a powerful tool in linguistic and cultural maintenance and in transforming language policy and planning at the local level, such that Mayo and English were positioned equally in the curriculum.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.559
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes2
Has abstractyes

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