Putting the Evidence into Preceptor Preparation
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 term evidence-based practice refers to the utilization of knowledge derived from research. Nursing practice, however, is not limited to clinical practice but also encompasses nursing education. It is, therefore, equally important that teaching preparation is derived from evidence also. The purpose of this study was to examine whether an evidence-based approach to preceptor preparation influenced preceptors in a assuming that role. A qualitative method using semistructured interviews was used to collect data. A total of 29 preceptors were interviewed. Constant comparative analysis facilitated examination of the data. Findings indicate that preceptors were afforded an opportunity to participate in a preparatory process that was engaging, enriching, and critically reflective/reflexive. This study has generated empirical evidence that can (a) contribute substantively to effective preceptor preparation, (b) promote best teaching practices in the clinical setting, and (c) enhance the preceptorship experience for nursing students.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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