Bibliographic record
Abstract
Within the present context of a shortage of nursing personnel, it seems crucial for organizations to find strategies that facilitate the transition from the student to the nurse role in order to recruit and retain caring and competent professionals. Early exposure to clinical nursing practice can (1) promote an appreciation of the organization and functioning of the clinical unit, (2) facilitate the application of knowledge and acquisition of nursing interventions, and (3) engage motivated nursing students in the learning process. L'Ordre des Infirmières et Infirmiers du Québec initiated the Nursing Extern Program (the Program) to ease the severe nursing shortage, which was expected to worsen over the summer. The Program was seen as a way for students to consolidate the learning acquired during clinical rotations. Nursing students were employed as externs over the summer period. Within the confines of the Program, nursing students had the opportunity to practice 21 nursing care activities while under the direct supervision of an expert nurse. This article describes the L'Ordre des Infirmières et Infirmiers du Québec Program and identifies the key elements of a hospital-based program. In the first 2 years of implementation, the Program retained 62% of the externs as graduates.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.071 | 0.008 |
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".