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Record W3117188916 · doi:10.17118/11143/17839

Actitudes hacia las lenguas indígenas por estudiantes en León, Guanajuato, México

2020· article· es· W3117188916 on OpenAlexvenueno aff
Felipe Canuto Castillo

Bibliographic record

VenueCircula · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyCartographyArt

Abstract

fetched live from OpenAlex

En este artículo se analizan las actitudes de estudiantes de bachillerato y licenciatura hacia los idiomas en general y los indomexicanos en particular para conocer la percepción de este sector de la población en torno al tema. Para llevar a cabo esta investigación, se aplicó un cuestionario a 83 jóvenes, de ambos sexos, que acudían a la Biblioteca Pública Estatal. El análisis de los datos lingüísticos se centró en las unidades de información en relación con las valoraciones hacia los idiomas indígenas y las situaciones sociales que comunicaban las respuestas. Los resultados que se obtuvieron muestran que, probablemente, debido a la “sensibilización” que reciben en la escuela acerca de la diversidad cultural, estos jóvenes se muestran favorables hacia las lenguas indígenas, pero sus deseos de aprender alguna de ellas se desvanecía cuando se confrontaban con sus intereses.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.082
GPT teacher head0.433
Teacher spread0.352 · 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 designObservational
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

Citations2
Published2020
Admission routes1
Has abstractyes

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