Ethnic Identity in an Intercultural Geography: an Empirical Study = L’identité ethnique dans une géographie interculturelle: une étude empirique
Bibliographic record
Abstract
This study explored the ethnic identity among 331 emerging adults (144 mestizos and 187 indigenous) from the Intercultural University of Chiapas (Mexico). Scholars suggest that ethnicity is much more salient for ethnic minority adolescents than for adolescents who are members of the ethnic majority. Our aim was to compare the results of the Multigroup Ethnic Identity Measure (MEIM) between the majority ethnic group and the minority group studied. Specifically, the following hypothesis was examined: adolescents who are members of the ethnic minority group (indigenous) will score significantly higher on ethnic identity than adolescents who are members of the ethnic majority group (mestizos). The results supported these hypothesis. We suggest that the effect of an intercultural educative model could explain these results. Key words: Ethnic identity; Emerging adults; Multigroup Ethnic Identity Measure (MEIM); Intercultural educational modelResume: Cette etude a explore l'identite ethnique parmi les 331 adultes naissants (144 metis et 187 indigenes) de l'universite interculturelle deChiapas (Mexico). Les chercheurs proposent que l'appartenance ethnique soit beaucoup plus saillante pour des adolescents de minorite ethnique que pour les adolescents qui sont des membres de la majorite ethnique. Notre but etait de comparer les resultats de la mesure d'identite ethnique de Multigroup (MEIM) entre l'ethnie de majorite et le groupe minoritaire etudies. Specifiquement, l'hypothese suivante a ete examinee: les adolescents qui sont des membres du groupe minoritaire ethnique (indigene) marqueront sensiblement plus haut sur l'identite ethnique que les adolescents qui sont des membres du groupe ethnique de majorite (metis). Les resultats ont soutenu cette hypothese. Nous proposons que l'effet d'un modele educatif interculturel pourrait expliquer ces resultats. Mots cles: Identite ethnique; Adultes naissants; Mesure d'identite ethnique de Multigroup (MEIM); Modele educatif interculturel
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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 | 0.005 | 0.007 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".