Bibliographic record
Abstract
[ES]Esta publicación surge con motivo de la exposición del proyecto "About Academia" de Antoni Muntadas, en el Crucero Bajo del Hospital Real -sede del rectorado de la UGR-, entre el 30 de noviembre de 2021 y el 11 de febrero de 2022. Muntadas define About Academia como un «artefacto» que ha de ser activado de manera crítica y situada en cada una de las instituciones en las que se presenta mediante seminarios, conversaciones o debates, de forma que la sala donde se muestra se piense como espacio de trabajo y no sólo como lugar de exhibición. Fruto del diálogo entre Azucena G. Blanco, Germán Labrador y yo misma se editó en un volumen colectivo que presenta el conjunto de materiales derivados de la activación de aquel proyecto. Este se compone del conjunto de textos críticos aportados por algunos de los participantes en el seminario y otros invitados que tratan de pensar las tensiones que atraviesan a la universidad hoy desde su propia experiencia y conocimiento sobre académica.
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 | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.015 | 0.047 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.009 | 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".