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
This article presents a small state’s perspectives on military socialization by examining military interactions at political and strategic, operational, and tactical as well as educational tiers. Transnational military socialization creates learning and socializing environments for militaries. However, the transnational military socialization process in Asia has received little scholarly attention, although its nature changed dramatically after the Cold War and 9/11. A small state often enters into asymmetric socialization with major powers. Mongolia presents an interesting case to capture these changes and impacts of transnational military interactions. The Mongolian military internalized Soviet military norms, ideas, and values during its seventy-year military socialization process. Since then, it has been attempting to disconnect from its communist past by internalizing the Western military norms, ideas, and culture even though it is isolated from the Western world. Interactions between Sino-Mongolian militaries over the past two decades have not resulted in any in-depth exchanges of ideas due to political, historical, and cultural factors. In the absence of explicit pressures from these three major powers, today the Mongolia military has consolidated a new identity, similar to a Western military. It has increased its contribution to peace support operations while attempting to disconnect its Soviet past and avoiding absorption from the growing Chinese military initiatives toward Central Asia. At the same time, Mongolia’s military socialization with Russian or American militaries often triggers uncertainty for Chinese security.
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 | 0.001 | 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 | 0.000 |
| 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 it