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Record W1989313474 · doi:10.2190/om.69.4.d

A Call to Action: An IWG Charter for a Public Health Approach to Dying, Death, and Loss

2014· article· en· W1989313474 on OpenAlexaboutno aff
Carl Becker, Elizabeth J. Clark, Lynne A. Despelder, J. C. Dawes, John Ellershaw, Glennys Howarth, Allan Kellehear, Suresh Kumar, Barbara Monroe, Patrice O’Connor, David Oliviere, Marilyn Relf, John Rosenberg, Louise Rowling, Phyllis R. Silverman, Diana J. Wilkie

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2014
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCharterCall to actionAction (physics)Public healthPublic relationsHealth careMedicinePolitical scienceNursingBusinessLaw

Abstract

fetched live from OpenAlex

The current systems of care for dying persons, the people caring for them, and the bereaved operate in ways that frequently lack sufficient sensitivity to their needs. We describe a new model for dying, death, and loss that adopts a public health approach. Specifically, we describe a deliberative process that resulted in a charter for a public health approach to dying, death, and loss. Modeled after the World Health Organization's 1986 Ottawa Charter, our charter includes a call to action. It has the potential to bring about significant change on local, societal, and global levels as exemplified by four projects from three countries. Public health and end-of-life services and organizations need to form partnerships with the community to develop a public health approach to dying, death, and loss. Learning from each other, they will affirm and enhance community beliefs and practices that make death part of life.

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)0.103
metaresearch head score (Gemma)0.087
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1030.087
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0180.037
Scholarly communication0.0230.019
Open science0.0060.024
Research integrity0.0220.054
Insufficient payload (model declined to judge)0.0050.003

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 head0.267
GPT teacher head0.431
Teacher spread0.164 · 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
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

Citations12
Published2014
Admission routes1
Has abstractyes

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Same venueOMEGA - Journal of Death and DyingSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207