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Record W2085311151 · doi:10.2190/om.70.1.d

The Impact of the Document International Work Group in Death, Dying and Bereavement: Assumptions and Principles Underlying Standards for Terminal Care

2014· article· en· W2085311151 on OpenAlexaff
Mary L. S. Vachon

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2014
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWorkgroupFormative assessmentWork (physics)RedactionPsychologyLibrary scienceMedical educationMedicineEngineeringComputer sciencePedagogyHistory

Abstract

fetched live from OpenAlex

This article reflects on the development and impact of the International Workgroup on Death, Dying and Bereavement's (IWG) pivotal document on The Assumptions and Principles Underlying Standards for Terminal Care. It was at the Ars Moriendi meetings in Columbia, Maryland that the author first met Bob and Bunny Kastenbaum. The meeting led to the development of IWG and the first task of this group was the development of the "Standards" document. The initial document reflected the pioneering work already being done by Kastenbaum and others on the committee and then was formative in the development of other documents such as the National Hospice Association Standards. Participants in the original workgroup were asked for their reflections on the significance of the document and the literature was surveyed to assess the impact of the "Standards" document on the field.

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 imitation

Not 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.

metaresearch head score (Codex)0.151
metaresearch head score (Gemma)0.127
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1510.127
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0150.032
Scholarly communication0.0260.012
Open science0.0050.014
Research integrity0.0120.037
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.391
Teacher spread0.338 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2014
Admission routes1
Has abstractyes

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Same venueOMEGA - Journal of Death and DyingSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207