Bibliographic record
Abstract
(19 de abril de 1927 - 3 de agosto de 2009) Fue doctor en filosofia con especializacion en ciencias de la educacion por la Universidad de Hamburgo (Alemania) y pionero de la investigacion educativa en Mexico. Desarrollo una intensa labor de difusion educativa en medios escritos (Periodico Excelsior, Revista Proceso) radio y television.Fundador del Centro del Centro de Estudios Educativos (CEE) en 1963. Realizo por mas de 40 anos investigacion educativa, contando con mas de 30 libros y cerca de 100 articulos publicados. Desde 1985 fue miembro del Sistema Nacional de Investigadores (Nivel III); investigador emerito de la Universidad Nacional Autonoma de Mexico (1996) e investigador nacional de excelencia (2003).Ha sido formador de investigadores y promotor de instituciones e instituciones e iniciativas. Impulsor de los Congresos Nacionales de Investigacion Educativa y fundador de la Revista Latinoamericana de Estudios Educativos. Estuvo vinculado con las principales organizaciones nacionales e internacionales del campo educativo (UNESCO, UNICEF, OEI, OEA), siendo embajador entre los anos 2006-2007 del gobierno mexicano en UNESCO.Fue asesor de las fundaciones Ford, Rockefeller e Interamerican; Consultor de las universidades de Stanford y Harvard (EE.UU) y profesor visitante de la Universidad de Alberta (Canada).
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".