El bolso de Ana Karenina o la importancia de los inventarios de archivos auto/biográficos
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Una de las l?neas m?s estimulantes en el estudio de la escritura auto/biogr?fica es la de recuperar archivos y escritos personales que suministran valiosa informa ci?n multidisciplinar. Es una tarea que requiere una firme pol?tica cultural: en muchos casos esos archivos han carecido, en el pasado, de un apoyo institucional, de una infraestructura adecuada que permita preservarlos de su posible destruc ci?n o p?rdida. La necesidad de inventariar los archivos autobiogr?ficos es una tarea pendiente en el ?mbito hisp?nico, a pesar de algunas iniciativas que se est?n llevando a cabo. La autora reflexiona sobre la emprendida por la Unidad de Estudios Biogr?ficos, en ese aspecto, y los fondos reunidos en los diez a?os de funcionamiento (1994-2004).
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it