Officer development: a contemporary roadmap.
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
Army senior leaders suggest that to face the challenges of the Contemporary Operating Environment, the US Army requires a new type of officer. This multi-skilled leader, dubbed the 'pentathlete', will meet the challenges of the modern battlefield as a function of his maturity, experience, education, and formal training. US Army officers today, however, face a career path marked by "up or out" promotions, short tours leading and commanding soldiers, and few opportunities to seek advanced degrees in residence. Officers weather the other second and third order effects of an outdated 20-year retirement plan that does not optimize the resources dedicated to building a highly effective officer corps. When prompted to change, the US Army often looks to its own history for inspiration. Rather than take a traditional approach, the author conducted a study of army officer development among America's five closest allies. The armies of Australia, Canada, France, Germany, and Great Britain all exhibit common developmental themes and all strongly diverge from the current US model. The result of this study, an allied-inspired model for US Army officer development, may provide some suggestions for the US Army in their effort to create pentathlete officers.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.012 |
| Open science | 0.012 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it