Officer development: a contemporary roadmap.
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 Officers weather the other second and third order effects of an outdated 20-year retirement plan that does not optimize the resources dedicated to building a highly effective officer corps.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.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.061 | 0.016 |
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".