Las Ciencias Humanas y el Paso de la Filogenia a la Ontogénesis
Bibliographic record
Abstract
El presente reporte es resultado de la labor de investigación realizada dentro del curso deCiencias Humanas, impartido por el Dr. Alain Chanlat, de la Universidad de Montreal (HEC), auspiciado por el Doctorado en Estudios Organizacionales de UAM Iztapalapa-CONACYT. Su objetivo es “intentar dar respuesta desde un enfoque interdisciplinario a la pregunta ¿Qué es el humano? Se buscan los principios básicos de las ciencias humanas que permitanhacer un balance de lo que somos como especie (perspectiva filogénica) y como individuo único (perspectiva ontogénica). Esta doble perspectiva permite presentar, en un orden lógico, las dimensiones biológica, neurológica, lingüística, psicológica y social, mostrandolas interacciones que existen entre ellas”. El contenido se basa en la ilación sintética de los principales postulados y nociones adyacentes a la parte de la obra revisada de cada autor presentado que, dentro de su propia perspectiva, contribuyen a responder la pregunta meta. El fin último es que el lector encuentre motivos para consultar las obras completas,apoyando esta síntesis con breves formulaciones críticas y propositivas.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".