Bibliographic record
Abstract
The simulation center provides the chaplain interns with a safe environment to practice and participate in different scenarios. It gives them the time to familiarize themselves with intensive care conditions such as the equipment, alarms and noise as well as the levels of activity and the very real limitations of space. It is an important opportunity to try new skills, to address their fears of being present in intense medical interventions, to see where improvement in their conduct is needed, to confirm the value of the communication skills they are being taught, and to develop empathy with patients, family members, and hospital staff. The students receive immediate feedback from peers and supervisors as well as immediate reaction from live actors portraying staff, patients, and family. For the teaching supervisor it is a valuable way to observe clinical conduct. It also provides evidence-based observations of the development and maintenance of professional standards. All participants, including the chaplain interns, the teaching supervisors, and the simulation coordinators observe that the CPE goals involving patient simulation are being met. An immediate result of addressing these goals demonstrates that the patients, families, and staff of St. Michael's Hospital receive high-quality spiritual and religious care from chaplain interns who are studying and working to improve their proficiency.
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.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".