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
The health care industry is facing a worldwide shortage. Despite a repeated call for a greater effort on recruitment and retention of men nurses to aid the nursing shortage, men remain a minority within the profession. In Canada, less than 7% of the nursing workforce are men. Using a survey, all men registered nurses in the Atlantic provinces reported on why they chose nursing, barriers they experienced, strategies to improve recruitment/retention, recommendations to others, and career satisfaction. The most common reasons for entering nursing were helping people, job security, and a challenging profession. The most common perceived barriers were being seen as “muscle,” inadequate recruitment, and sexual stereotypes. Most subjects were satisfied with career choice and had no hesitation in recommending the career for other men. Respondents stressed that recruitment strategies should focus on factors such as helping others, job security, and career opportunities. Findings may help with future recruitment strategies designed to attract more men into the nursing profession.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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