Hitos del devenir antropológico y de la trayectoria etnográfica: el niño que imaginaba mundos subterráneos. Entrevista a Jacques Galinier
Bibliographic record
Abstract
Jacques Galinier es doctor en Antropología por la Escuela de Altos Estudios en Ciencias Sociales, Paris (1985). Se desempeña como Director de Investigaciones de Primera Clase Emérito en el Centro Nacional de la Investigación Científica de Francia (CNRS) y como miembro de tiempo completo del Laboratorio de Etnología y de Sociología de la Universidad de París Nanterre. Es co-responsable del programa de investigación transdisciplinario “Antropología de la noche” (CNRS- Universidad de París Nanterre). Ha impartido clases en el Departamento de Etnología de la Universidad de Burdeos (1973-1975 y 1980-1981), en el Departamento de Etnología de la Universidad de París X (1978-2004), en el Instituto de Investigaciones Antropológicas de la Universidad Nacional Autónoma de México (1987, 1995, 2003, 2016), en el Programa de Estudios de Posgrado de la Universidad Federal de Rio de Janeiro (1987), en el Departamento de Antropología de la Universidad Eötvös Lorand de Budapest (1992), en el Departamento de Ciencias Sociales de la Universidad de Natal, Brasil (1998, 2003, 2015) y en la Universidad Complutense de Madrid (2003, 2004, 2005). Asimismo forma parte del consejo editorial de las revistas L’Homme (Paris), Journal de la Société des Américanistes (Paris), Journal of the Southwest (Tucson, Universidad de Arizona), Recherches Amérindiennes au Québec (Montreal), Dimensión Antropológica (México DF), y de Anales de Antropología (México DF). Ha realizado estudios etnogáficos pioneros sobre las poblaciones otomí, en México Oriental.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".