Neonatal Ethics Teaching Program – Scenario-Oriented Learning in Ethics: Unexpected Birth Malformation
Bibliographic record
Abstract
Abstract Among the most frequent and challenging scenarios encountered in Neonatal-Perinatal Medicine (NPM) is the delicate interaction necessary after the birth of an infant with an unexpected congenital malformation. Many of these infants are at significant risk of early death, suffering, or long term disabilities. The medical team and the parents are facing difficult decisions about instituting and continuing intensive care treatment or transitioning to palliative care. Trainees must be able to negotiate these complex scenarios utilizing professionalism, communication, and ethical knowledge. To integrate this technique and facilitate these communication competencies at the University of Ottawa, we developed a small group workshop with a standardized patient (SP) called Scenario Oriented Learning in Ethics (SOLE): Unexpected Birth Malformation. The goal of this workshop is to help trainees show improvement in their communication skills and demonstrate appropriate application of ethical principles when they have to interact with parents in delicate, difficult, and ethically charged situations regarding their child. Furthermore, this workshop provides trainees the opportunity to practice and learn how they would interact with a true patient in a given clinical scenario. The SOLE small group workshop with SP is an action-oriented, flexible real-world setting and thought to facilitate reflective practice in adult learners. During the SOLE workshop, an intentional interruption occurs when deemed necessary by the trainee engaged with the SP or sometimes by the supervisor. The supervisor could also interrupt the encounter when the predetermined objectives adapted to the trainee's level of training is accomplished, such as providing information according to the mother's need or to a higher level to negotiate a shared treatment plan with the family. At the end of one rotation between the SP and a trainee (i.e., before starting with a new trainee), the supervisor guides a debriefing, concentrating on learning outcomes. Enough time is provided for participants to verbalize their feelings and completely debrief. At the conclusion of the scenario, the SPs will share their feedback by summarizing two or three points that are valuable to the trainees. This time is also used by participants to summarize and identify their strengths and areas needing improvement in order to be able to become a better communicator and professional.
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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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".