Social Factors, Language Preservation and Attitudes towards Spanish and Tzotzil in San Pedro Chenalhó in the State of Chiapas, Southeast Mexico
Bibliographic record
Abstract
Karla Del Carpio is a language instructor with a Bachelor’s degree in Teaching English as a Foreign Language in Mexico. She holds a Master’s degree in Applied Linguistics from the University of Alberta in Canada where she is currently a doctoral student in the program of Secondary Education. Her research interests are Second Language Acquisition, Bilingual Education and Indigenous Languages Revitalization. Abstract This paper examines the social factors that have influenced the Tzotzils to maintain their indigenous language even if there are factors that have worked against such preservation. The Tzotzils are an indigenous group found in Chiapas, southeast Mexico, and the participants of this study were the Tzotzils living in Chenalhó, a predominantly indigenous community in central Chiapas. The closeness of Chenalhó to cities, the lack of employment in this community, government programs and especially the establishment of bilingual schools where Spanish is more frequently used than Tzotzil, are examples of the factors that have influenced the Tzotzils to use Spanish. However, Tzotzil speakers identify with their native language, so they are concerned with preserving it and transmitting it to younger generations. Nonetheless, people in this indigenous community realize that speaking Spanish is important so they can communicate with non-indigenous Mexicans and they can have better opportunities in life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".