Bibliographic record
Abstract
Estudios Sociales del NOAnueva serie - n° 13 - 2014Editor Radek Sánchez Patzy / IIT-FFyL-UBACoeditora Lucila Bugallo / IIT-FFyL-UBA; FHyCS-UNJuComité EditorAlejandro Benedetti / FFyL-UBA; CONICET Nancy Egan / Universidad de California, San Diego Mónica Montenegro / IIT-FFyL-UBA; FHyCS-UNJu Pablo Ochoa / IIT-FFyL-UBA Fabiola Orquera / ISES-UNT; CONICET Clarisa Otero / IIT-FFyL-UBA Marina Weinberg / IIT-FFyL-UBAComité Académico Denise Y. Arnold / Instituto de Lengua y Cultura, La Paz, Bolivia; Birkbeck, Universidad de Londres Carlos A. Aschero / UNT Daniel E. A. Campi / UNT; CONICET M. Beatriz Cremonte / UNJu; CONICET Gastón Gordillo / Universidad de British Columbia, Vancouver José Luis Martínez Cereceda / Universidad de Chile Rafael Pérez Taylor / Universidad Autónoma de México Carlos E. Reboratti / UBA; CONICET Gilles Riviere / École des Hautes Études en Sciences Sociales Calogero Santoro Vargas / Universidad de Tarapacá, Chile M. Cristina Scattolin / UNLP; CONICET Gabriela B. Sica / UNJu; CONICET Myriam N. Tarragó / FFyL, UBA; CONICET Hugo D. Yacobaccio / Instituto de Arqueología, UBA; CONICET Verónica I. Williams / Instituto de Arqueología, FFyL‐UBA; CONICETEdición y corrección Liliana ComettaIlustración de tapa Carolina RivetEsta publicación cuenta con el auspicio de: Facultad de Humanidades y Ciencias Sociales, Universidad Nacional de Jujuy, Secretaría de Cultura de la Provincia de Jujuy, Asociación de Arqueólogos Profesionales de la República Argentina (AAPRA), Instituto de Investigaciones Arqueológicas y Museo «Gustavo le Paige» de la Universidad Católica del Norte (UCN), San Pedro de Atacama (Chile). Estudios sociales del noa - nueva serie es una publicación semestral editada por el Instituto Interdisciplinario Tilcara, cuyo principal objetivo es la difusión de investigaciones y noticias en Antropología, Arqueología, Historia, Geografía y otras disciplinas de las ciencias sociales desde una perspectiva regional y surandina.
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 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.305 | 0.188 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".