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Record W2789592878 · doi:10.5539/elt.v11n2p131

University Indigenous Students’ Perceptions towards Kichwa, Spanish and English

2018· article· en· W2789592878 on OpenAlexvenueno aff
Jacqueline Guadalupe Armijos Monar, Blanca Narcisa Fuertes López, Jorge Edwin Delgado Altamirano, Vicente Marlón Villa Villa

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPerceptionPsychologyIndigenous languageSubject (documents)Economic JusticePoliticsMathematics educationPolitical scienceLibrary science

Abstract

fetched live from OpenAlex

Even though there has been a significant advancement in human rights, social justice and social practices around the world; some Ecuadorian indigenous students still struggle against many social and linguistic limitations, especially in Chimborazo province. This research was carried out with 30 Ecuadorian indigenous students who studied English as a compulsory subject for five months. The aim of the study is to explore the general attitudes of indigenous university students about Kichwa, Spanish and English languages in the Universidad Nacional de Chimborazo, at the Political and Administrative Science College. It also aims to find out which language demands more of their attention. Quantitative and qualitative data were collected into three-time stages by applying a questionnaire asking for students’ attitudes towards Kichwa, Spanish and English. Participants were asked about their language exposure in each of the mentioned languages. Answers were tabulated using the Statistical Package for the Social Sciences (SPSS) program. The outcomes revealed a substantial difference in the students’ attitudes in favor of Spanish language. Students showed a high exposure and attitude percentage towards Spanish language through social interaction with native speakers. Additionally, they listened and read information in Spanish with the most accuracy. The participants have been exposed to Spanish more than 20 years, as well. Conversely, students do not show a significant attitude towards English or Kichwa. Additionally, their social and academic contexts do not demand that the students to speak Kichwa and English, as a priority in students’ daily communication.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.235
Teacher spread0.225 · 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.

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

Citations7
Published2018
Admission routes1
Has abstractyes

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