A method to improve the selection of nursing students
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
Background: Current baseline measures–primarily cognitive–do not select the best nurses. We hypothesized that a validated test of thinking skills, Strategic Management Simulations (SMS), will predict the nurses the faculty deemed the best at graduation.Methods: A total of 37 RNs in the last semester of an Associate Degree program voluntarily took the SMS. At graduation, faculty ranked them on “who would best take care of your loved one?” Faculty rank was correlated with SMS scores, admission rank and graduation end points.Results: Faculty rank did not correlate with admission rank or cumulative grade but did with the final nursing module rank and with three SMS measures: crisis response, breadth of approach, and focused activity.Conclusions: Traditional selection methods e.g., admission rank, do not predict outcomes of nursing graduates, e.g., final nursing module rank. Measures of thinking, e.g., SMS crisis response, correlate with desired outcomes and could be used during the selection process to improve outcomes.
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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 | 0.003 | 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