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Record W7137827937 · doi:10.54695/jibes.363.0139

Chapitre 10 . La coconstruction d’un cadre d’apprentissage en éthique par une équipe apprenante : une démarche pédagogique en éthique

2025· article· fr· W7137827937 on OpenAlex
Anne-Marie Boire-Lavigne, Marilène Gosselin, Chantal Doré, Marie-Josée April, Perrine Granger, Marc Dumas, Jacques Quintin

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal international de bioéthique et d'éthique des sciences · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsContext (archaeology)Continuing educationOccupational training

Abstract

fetched live from OpenAlex

This article describes the experience of a work team and the process of developing a learning framework for professional ethics in healthcare. This framework is designed to help healthcare professionals to deal with complex clinical or research situations. Our interdisciplinary team developed a framework that identifies three interrelated learning objectives. These objectives are divided into key elements, considering the complexity of professional action and the autonomy of the learner. The framework also includes a progression in the development of these objectives. It serves as an essential tool to design and evaluate ethics-focused learning tailored to the pedagogical context and organization of various clinical and scientific programs. In the experience of its coconstruction, the team has seen the richness and challenges of operating in a posture that is both learning and ethical. Making clearer the team's experience by combining these two perspectives will enable other teams to draw inspiration from it. This dialogical, iterative approach, nourished by the diversity of individual perspectives, has led to an evolution in ethics teaching knowledge. It supports innovation in training curricula based on this framework.

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 imitation

Not 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.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.490
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0060.019
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.040
GPT teacher head0.405
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it