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Record W7117325712 · doi:10.1002/ase.70177

Trauma‐informed bequeathed body donor meeting sessions: A guide for creating a supportive and humanistic anatomy laboratory

2025· article· en· W7117325712 on OpenAlexaff
Bryn Bhalerao, Catherine Belling, Angelique N. Dueñas, Charys M. Martin, Andrew Deweyert

Bibliographic record

VenueAnatomical Sciences Education · 2025
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsWestern University
Fundersnot available
KeywordsGratitudeHonorHumanismCurriculumGross anatomyHumanityIdentity (music)Session (web analytics)Dissection (medical)

Abstract

fetched live from OpenAlex

Anatomy educators are increasingly seeking approaches that honor the humanity of body donors while supporting learners through their first encounters in the gross anatomy lab. We describe a comprehensive donor meeting session, implemented in both dissection and prosection curricula at two North American medical schools, that prepares students to engage with donors before formal content-based learning begins. Grounded in the six principles of trauma-informed practice-safety; trustworthiness and transparency; peer support; collaboration; empowerment; and inclusivity-the session prioritizes relational and humanistic engagement over technical preparation alone. Learner reflections and faculty observations indicate that this model promotes emotional readiness, mitigates distress, and cultivates gratitude and humanism. We offer this framework for anatomy educators aiming to create supportive, donor-centered learning environments that shape both professional identity and future patient care.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.325
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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