MétaCan
Menu
Back to cohort

Death and dignity through fresh eyes

2011· article· en· W2144916868 on OpenAlexaff
Matthew Phillips, Ruth Pilkington, Aileen Patterson, Martina Hennessy

Bibliographic record

VenueThe Clinical Teacher · 2011
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsTrinity College
Fundersnot available
KeywordsDignityFeelingContext (archaeology)CurriculumPalliative careGood deathIdentity (music)PsychologyMedical educationMedicinePedagogyNursingSocial psychologyLawPolitical scienceAestheticsHistory

Abstract

fetched live from OpenAlex

BACKGROUND: Trinity College Dublin remains one of the Medical Schools that uses traditional dissection to teach anatomy, exposing students from the first week of entry to cadavers. This early exposure makes it imperative that issues surrounding death and donor remains are explored early on within the main structure of the curriculum. CONTEXT: The School of Medicine began a programme of Medical Humanities student-selected modules (SSMs) in 2010, and the opportunity to offer a module on medical ethics regarding death and dignity was taken. INNOVATION: A course was devised that touched only lightly on subjects such as palliative care and the concept of a good death. The course focused much more strongly on the reality of death as part of cultural and societal identity and placement. This was facilitated by field trips to settings where discussions regarding death, dying and dignity were commonplace and authentic experiences, rather than classroom discussions based on theoretical circumstances that may not yet have been experienced by the student. IMPLICATIONS: The module ran very well, with students feeling that they had had a chance to think critically about the role of death as an event with significance within society and culture, rather than purely in a medico-legal framework. Options to extend the module to the compulsory element of the course, to be built upon in later years looking at more technical aspects surrounding death, are being explored.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.301
GPT teacher head0.453
Teacher spread0.152 · 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.

Study designObservational
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

Citations3
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Clinical TeacherSame topicEmpathy and Medical EducationFrench-language works237,207