Bibliographic record
Abstract
El libro de Vitoria De Masi llegó en los bordes del año 2024 de la mano de un tanque editorial que marca las agendas de lectura y conoce del compás político. A un año de la presidencia de Javier Milei, la figura de Karina, su hermana, se vuelve tan enigmática como el experimento al que nos conduce La Libertad Avanza. En ese rodeo, prima el intento por crear una biografía de un personaje menor, de una actora que se vuelve transcendente tres minutos antes de fabricar y acompañar a su hermano en el camino que los llevará al vértice del poder. La ahora secretaria general de la Presidencia era hasta ayer una señora de barrio de clase media, signada por los infortunitos de esa clase argentina, porteña y bonaerense, que sabe cambiar de trabajo, que lee con habilidad los caminos del ascenso social y que puede acomodar los gastos domésticos a las billeteras de las estaciones del año.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.106 | 0.028 |
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".