Politics and Education in Argentina, 1946-1962. MÓNICA ESTI REIN: Armonk, NY & London: M.E. Sharpe, 1998.
Bibliographic record
Abstract
The subject of Monica Rein's Politics and Education in Argentina, 1946-1962 is precisely what its title indicates: Peronism and the manifold impacts of Peronism on the education system, top to bottom; and the politics of de-Peronization, from 1955 to 1962, and the many consequences of that enterprise for the educational system. Her area of concern is the operational and institutional moves of the successive regimes (Peron, the Revolucion Libertadora ,$$ Frondizi); she does not, she says (p. 204), address the question of how, or whether, the Peronist world-view was received and absorbed by the young until 1955, or how or whether Peron was expunged from the hearts of the Argentines afterwards. Those are even more difficult questions, ones which will in the end demand an informed speculation --but Monica Rein has provided the indispensable information and heuristic framework without which such speculation would simply be empty vaporing.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".