Consejería psicológica virtual en la universidad colombiana: más allá del rendimiento académico
Bibliographic record
Abstract
El servicio de consejería psicológica que se ofrece desde bienestar universitario a los programas educativos virtuales en Colombia, se ha centrado principalmente en detectar estudiantes con bajo rendimiento académico y riesgo de deserción, dejando un poco de lado los problemas psicológicos de los estudiantes como la ansiedad académica, el desgaste emocional que implica trabajar y estudiar, así como la prevención de situaciones de crisis, que eventualmente se podrían presentar.Desde esta perspectiva, el presente artículo plantea una reflexión acerca de los nuevos retos del psicólogo que trabaja en la consejería psicológica virtual de las universidades y de la necesidad que tiene de formarse en el manejo de plataformas virtuales y la importancia de una regulación ética de sus acciones profesionales de acuerdo con los lineamientos de la American Psychological Association, la Canadian Psychological Association y la New Zealand Psychologists Board.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".