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Record W4413955925 · doi:10.1080/02701960.2025.2551966

Courageous conversations: The possibilities and practicalities of discussing death when teaching gerontology

2025· article· en· W4413955925 on OpenAlex
Samantha Teichman, Albert Banerjee

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

VenueGerontology & Geriatrics Education · 2025
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsSt. Thomas UniversitySimon Fraser University
Fundersnot available
KeywordsMedical educationMedicineGerontologySociologyEngineering ethicsPsychologyEngineering

Abstract

fetched live from OpenAlex

When developing curricula in gerontology related to families and health, we often relegate death and dying, end-of-life care, and bereavement to the last topic of the course. However, what if we were to restructure our classes to consider death and dying first? This paper explores pedagogical and practice-based strategies for integrating death education into gerontology curricula from the outset. Guided by the Compassionate Communities approach to palliative care (Kellehear, 2005), which emphasizes that experiences of death, dying, and bereavement extend beyond professional domains, we argue that gerontology educators are uniquely poised to support public engagement with mortality. Engaging with these topics early in the curriculum encourages reflection on death, finitude, and grief, benefiting both students and instructors. We ask: how can this be done effectively? As educators, we too need to learn how to engage with this topic meaningfully and become comfortable with discomfort. Drawing from our own teaching experiences, we highlight how tools, such as the arts and Death Cafés can provoke critical insights on how grief and death inform the life course. An online appendix of resources is provided to support instructors in teaching students about death and exploring their own relationship to mortality as part of this process.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.363
Teacher spread0.328 · 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