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
Preceptors teach students within complex, unpredictable, and often chaotic environments. The teaching expertise that preceptors acquire as they guide, facilitate, and evaluate student learning often is overlooked by both academia and service. The purpose of this triangulated research was to create a profile of nurse preceptors and reveal teaching expertise through the interpretation of preceptors' everyday experiences and challenges. The findings of this research are brought forward through the three main understandings of discovering, learning, and engaging. Dissemination occurred through the development of a collaborative Centralized Preceptorship Education Project that included three health regions, seven academic institutions, and professional regulating bodies, as well as the development of a preceptor educational framework, entitled Preceptors Matter. Our intent throughout the research and dissemination process was to legitimize the preceptor role by revealing expertise, connecting conversations, and offering opportunities for extension.
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 | 0.001 | 0.001 |
| 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 | 0.002 |
| 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