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Record W2788396821

Ser o no ser como un hablante nativo del inglés: Creencias ambivalentes e ideología en el imaginario de los profesores de inglés en Brasil y México

2017· article· es· W2788396821 on OpenAlexaff
Alys Avalos-Rivera, James Corcoran

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesEnglish languagePedagogyPsychologySociologyMathematics educationPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

"El estudio de las creencias de los profesores “no-nativos” de inglés es importante por su relación con la práctica docente. El tema ha sido abordado anteriormente, pero existen pocos estudios en el contexto latinoamericano. Este artículo reporta dos estudios conducidos en México y Brasil con profesores experimentados. Se analizan críticamente las creencias sobre la posición profesional del docente con respecto a la figura idealizada del hablante nativo. Los resultados indican la influencia potencial de ideologías generalizadas que están relacionadas con la falacia sobre la superioridad del hablante nativo. Se discuten implicaciones que estas creencias pueden tener en la práctica y situación laboral del docente. Se consideran recomendaciones para fomentar políticas de formación y una práctica docente más críticas y orientadas a desafiar las inequidades entre los profesores de inglés en Latinoamérica."

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)0.002
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 score0.169
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.010
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.266
Teacher spread0.250 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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