La tutoría académica con perspectiva de género, una propuesta para implementar en la Licenciatura en Enseñanza de las Artes de la Universidad Veracruzana
Bibliographic record
Abstract
En este trabajo de investigación se abordan tres temas principales que, dentro de una tutoría académica con perspectiva de género, es imprescindible abordar. En primer lugar, la relevancia de la implementación de la perspectiva de género en el ejercicio y acompañamiento tutorial hacia una práctica inclusiva y la creación de espacios seguros para cualquier persona, evitando así la discriminación desde la prevención y un acompañamiento que visibilice y respete la expresión e igualdad de género; luego, a partir de un estudio interregional realizado a tutores y estudiantes tutorados del programa educativo de Enseñanza de las Artes de la Universidad Veracruzana, conocer las situaciones de violencia de género que vulneran el bienestar y permanencia del estudiante, esto como un indicador que evidencia
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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 | 0.004 |
| 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 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".