Constructing the Self-concept through Culture: A Study with Indigenous and Mestizos Students from Different Educative Settings in Chiapas (Mexico) LA CONSTRUCTION DU CONCEPT DE SOI VIA LA CULTURE: UNE ETUDE AVEC LES ETUDIANTS AUTOCHTONES ET METIS VENANT DE DIFFERENTES INSTITUTIONS EDUCATIVES AU CHIAPAS (MEXIQUE)
Bibliographic record
Abstract
This study explored self-concept among 631 adolescents (410 mestizos and 221 indigenous) from the Intercultural University of Chiapas (331), the Autonomous University of Chiapas (150) and University of Altos de Chiapas (150). Our aim was to compare the results of the personal and social self-concept task (PSSC) between the students that participating in these three universities. We predicted, following the MMM approach of culture's impact on self concept, that students will have different self-concepts because they participating in different educative settings. Specifically, we expected that adolescents who are members of the Intercultural University of Chiapas will score significantly higher on social categories in self-concept task than students who are members of the private University of Altos de Chiapas and Autonomous University of Chiapas. The results supported this hypothesis. We conducted an analysis of variance (ANOVA), showing significant differences in the studied groups. We suggested that proximal process is the mechanism
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".