La Psicología Mexicana en el contexto de Iberoamérica
Bibliographic record
Abstract
Aunque compartimos el mismo idioma y problemas sociales como el desarrollo de la psicología en los países de América Latina, ha sido un tanto irregular, en algunos países los sindicatos de la psicología en México están más desarrollados. Como te darás cuenta en este artículo, tenemos un mayor desarrollo en la acreditación de programas de psicología. En México el desarrollo de nuestra profesión tiene diferentes tendencias modalidades de formación y también la masa de nuestra disciplina desde los años setenta ha hecho de la calidad de los procesos de todos los programas de psicología están presentes en porcentajes bajos, y la organización de comercio con respecto a la certificación de los psicólogos ha sido lento. Este trabajo es de carácter recopilatorio y cita varios autores que se han ocupado de los análisis de la psicología en México.
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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 | 0.003 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".