Bibliographic record
Abstract
proceso de educación militar debe forzar al cómo pensar, más que al qué pensar.No ofrecemos solu ciones de escuela, tampoco rece-Cuando enseñé en la Escuela de Guerra < Naval de los Estados Unidos en Newport, a mediados de 1980, los oficiales eran todavía entrenados para pelear y ganar las grandes batallas, así como en Midway o el Mar Coral, Kurst o Estalingrado.Este fue el tiempo de la estrategia marítima del super-poder de confrontación global.Después la Unión Soviética se desplomó y le siguió Europa Oriental.Hoy vivimos en un tiempo de cambio histórico y sin precedente, de rápido vuelco tecnológico, de meceóricos avances en comunicaciones e información.Es k> que los militares norteamericanos plantean como la Era de la "Revolución en Asuntos Militares".Todo esto requiere oficiales que puedan pensar creativa y criticamente Ya no basta con saber conducir un pelotón, ubicar la artillería en un blanco, o tomar la delantera de frente.El soldado de hoy debe ser capaz de trabajar en grupo y con un medio ambiente multinacional.Basta pensar en las recientes operaciones en Somalia, Haiti, Ruanda, Bosnia, Kosovo y Timor Oriental.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.003 |
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".