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Record W2406642948 · doi:10.1177/082585970402000306

Lost in Translation: Dignity Dialogues at the End of Life

2004· article· en· W2406642948 on OpenAlexaff
Laura Hawryluck

Bibliographic record

VenueJournal of Palliative Care · 2004
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsDignityValue (mathematics)Psychological interventionPalliative careRight to dieNursingInterpersonal communicationEnd-of-life carePsychologyMedicineSocial psychologyPsychotherapistSociologyLawPsychiatryPolitical science

Abstract

fetched live from OpenAlex

After a diagnosis of life-threatening illness, decisions must be made regarding various treatment options including life-sustaining interventions. The preservation of dignity is commonly invoked in these discussions with patients, their substitute decision makers, and health care providers. Current thoughts on dignity explore two main ideas: dignity as intrinsic worth and dignity as worth judged according to extrinsic socially based constructs. For the most part, both notions of dignity are appealed to in discussions of continuing or withholding/withdrawing treatments and in debates on the legalization of assisted death. These conceptions of dignity are value-laden and frequently biased, and therefore should be used with caution, if at all, in discussions with patients and their substitute decision makers. The fundamental issues in discussion with all patients diagnosed with a life-threatening illness are ones of respect for persons, acceptance, caring, and the value of interpersonal relationships.

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)0.010
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.045
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.027
Scholarly communication0.0110.013
Open science0.0020.010
Research integrity0.0110.017
Insufficient payload (model declined to judge)0.0200.004

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 head0.124
GPT teacher head0.339
Teacher spread0.215 · 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 designQualitative
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

Citations9
Published2004
Admission routes1
Has abstractyes

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