Bibliographic record
Abstract
After the September 11, 2001 (9/11), attacks on the United States, homeland defense became the primary issue in U.S. defense policy. At the same time, it was clear that homeland defense would have to become a trilateral continental issue, and, thus, would have to include Canada and Mexico. Because the United States and Canada already had developed a relatively close relationship during and after World War II as a result of their common interests and efforts in NATO (North Atlantic Treaty Organization) and NORAD (North American Air Defense), it became important to begin to understand the Mexican armed forces and their capabilities. This monograph, written from a Canadian prospective, is a significant step in that direction. Because interaction among the U.S., Mexican, Canadian, and other hemispheric armed forces is likely to increase, within or outside a continental economic and/or security architecture, better mutual understanding of the structure and inner workings of the not well understood Mexican armed forces is indispensable. Thus, the purpose of this monograph is to provide a long-overdue appraisal of the Mexican armed forces, with the intention of acquainting those in Canada and the United States and other countries in the Western Hemisphere with the Mexican armed forces. This monograph will demonstrate that the armed forces are professional and well respected in Mexico, and that many Mexicans depend on these forces for medical services, physical and human development, and disaster relief. Additionally, the authors expect that this monograph will contribute to a more universal understanding of the history, structure, and doctrine of the Mexican forces, and of the changing nature of civil-military relations in Mexico. This is not only desirable, but likely necessary, as we move further into 21st century interdependence.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".