Usos y sentidos de la escolarización entre profesionistas mazatecos de Oaxaca, México
Bibliographic record
Abstract
El presente articulo busca contribuir a la reflexion sobre el sentido de laprofesionalizacion para los pueblos indigenas. Se presenta el caso de losmazatecos de la Region Canada del Estado de Oaxaca, Mexico, para mostrarcuales son algunas de las expectativas que tienen con respecto a convertirse enprofesionistas, de alguna manera, empoderados por ser especialistas en algunade las areas del conocimiento academico. En este sentido, se destaca que elacceder a la universidad convencional configuro entre los jovenes mazatecosdistintos procesos de resignificacion. Ademas, este acceso sirvio para crearalgunas transformaciones sociales al interior de sus comunidades. Por otrolado, se muestra el como y para que estan regresando los profesionistasmazatecos a sus comunidades de origen y si su profesionalizacion forma parte ono de un proyecto colectivo, con lo cual las comunidades mazatecas focalizanuna mirada critica sobre sus profesionistas
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".