Bibliographic record
Abstract
El Dr. Arturo Bouzas Riano nacio en Xalapa, Ver. Cursaria la carrera de psicologia en el Colegio de Psicologia de la Facultad de Filosofia y Letras de la UNAM, en donde participaria en el impulso y la consolidacion de la psicologia experimental en la UNAM. Enseno psicologia experimental en la Facultad de Psicologia de la Universidad Veracruzana. Realizo estudios de posgrado en la Universidad Estatal de Nueva York y de Doctorado en la Universidad de Harvard, asi como un posdoctorado en la Universidad de Toronto. Ha obtenido los mayores reconocimientos por parte de la comunidad cientifica a nivel nacional e internacional lo mismo que en la UNAM, siendo el de Director de la Facultad de Psicologia (1997- 2001) acaso el mas significativo. En esta charla nos da a conocer un poco de su vida familiar y su infancia, asi como de la decision de estudiar psicologia, de su vida estudiantil en la UNAM, su experiencia en Xalapa, asi como su regreso a Mexico en 1974. Tambien nos habla de los contrastes en la ensenanza de la psicologia entre los sistemas universitarios de EEUU y Mexico, del estado actual de la disciplina y de la formacion del psicologo.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.054 | 0.034 |
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".