Bibliographic record
Abstract
OBJECTIVE: The relationship between the specialized nurses of the Labor and Delivery Suite and the medical students who are rotating through the unit as clinical clerks has traditionally been a poor one. The objective of this project was to develop a program which pairs medical students with nurse preceptors to improve their understanding of each other's roles and to provide students with an opportunity to gain basic clinical skills, and secondarily, to evaluate the students' perceptions of the program METHODS: We developed an ongoing program which pairs third-year students with Labor and Delivery nurses for one to two shifts. The evaluation of the program used the end-of-rotation questionnaire completed anonymously by students to determine their rating. RESULTS: The median rating of the program by students is 5 out of 7 (with 7 being the best rating). Seventy-seven percent rated the program 5 or higher. CONCLUSION: This program has been successful in pairing students with nurse preceptors for a total of three years so far. The process we used to develop the program may help other institutions who wish to put in place a similar program. LEVEL OF EVIDENCE: III.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".