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Record W2233774516 · doi:10.1017/s1478951515001285

The “good death”: An integrative literature review

2016· review· en· W2233774516 on OpenAlex

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

VenuePalliative & Supportive Care · 2016
Typereview
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGood deathDenialCINAHLPoliticsThanatologyPalliative carePsychologySocial psychologySociologyMedicinePsychoanalysisSocial sciencePolitical scienceLawPsychiatryPsychological interventionNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: The "good death" is a dynamic concept and has evolved over time to become a "revivalist" good death: a planned, peaceful, and dignified death, at home, surrounded by family members. As the "good death" continues to evolve, the key questions are: How do cultural perceptions of death and dying change? What are the forces that shape Western attitudes and beliefs around death and dying? And how does the "good death" discourse frame the dying experience in contemporary society? The purpose of this manuscript is to describe the underlying discourse in the literature on the "good death" in Western societies. METHOD: An integrative literature review of data from experimental and nonexperimental sources in PubMed, CINAHL, PsychINFO, and SocINDEX of 39 articles from 1992 to 2014. RESULTS: Four main themes emerged from reviewing 39 articles on the "good death": (1) the "good death" as control, (2) the wrong "good death," (3) the threatened "good death," and (4) the denial of dying. SIGNIFICANCE OF RESULTS: Evolving in response to prominent social attitudes and values, the contemporary "good death" is a powerful, constraining discourse that limits spontaneity and encourages one way to die. Social, political, and demographic changes now threaten the stability of the "good death"; dying is framed as an increasingly negative or even unnecessary process, thus marginalizing the positive aspects of dying and rendering dying absent, invisible.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.894
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.067
GPT teacher head0.453
Teacher spread0.386 · 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