Bibliographic record
Abstract
We were surprised and dismayed to read the inaccuracies published under the title "Air Force May Change Nurse Corps Admission Standards" (News, December). AJN misrepresented our nursing optimization initiative. Air Force Nursing Services currently has a two-tiered patient care delivery system that consists primarily of bachelor's degree nurses and unlicensed assistive personnel. We are exploring the possibility of including enlisted licensed practical nurses and associate degree nurses in our skill mix to more closely reflect staffing in civilian health care organizations. These initiatives will enable us to optimize the talents of our enlisted force and provide selected members the opportunity to advance their skills. At no time has the Air Force Medical Service advocated changing the current requirement for a baccalaureate degree in nursing for commission in the Air Force Nurse Corps (AFNC). Military nursing took the lead in advancing the American Nurses Association position that a baccalaureate degree should be the entry level for practice as a professional nurse. In fact, the AFNC has required a bachelor's degree for commissioning since 1982. It is important that your journal, which reaches such a large population of nurses, accurately reflects the Air Force position in this matter. Barbara C. Brannon Brigadier General, USAF, NC; Director, Nursing Services; Office of the Air Force Surgeon General Paul K. Carlton, Jr. Lieutenant General, USAF, MC, CFS; Air Force Surgeon General; Washington, DC
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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 | 0.008 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.033 | 0.034 |
| Insufficient payload (model declined to judge) | 0.058 | 0.050 |
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".