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Record W2168642049 · doi:10.1017/s1478951504040544

Hope at the end of life: Making a case for hospice

2004· article· en· W2168642049 on OpenAlexaff
Denise L. Hawthorne, NANCY J. YURKOVICH

Bibliographic record

VenuePalliative & Supportive Care · 2004
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsDouglas College
Fundersnot available
KeywordsAnticipation (artificial intelligence)Meaning (existential)Intervention (counseling)End-of-life carePalliative carePsychologyPsychotherapistHospice careSociologyMedicineNursing

Abstract

fetched live from OpenAlex

Hope is the anticipation of something better to come and an essential component of life. It is a complex notion that is fundamental to the promise of health care. Initially, hope is for cure or restoration of health but in terminal illness, when there is no longer the possibility of cure, hope rests in the knowledge and skill of the medical scientist to alter the course of disease and to prolong life. It is this expectation for renewed physical being that is the focus of every intervention. At the end of life, when science can do no more, hope endures, but the focus of hope changes. It becomes hope to find meaning in life, as it was lived, and in the time that remains. For most, however, the end of life unfolds in the scientific milieu of the hospital where the significance of redefining hope may not be considered, and many die without hope. The purpose of this article is to explore the meaning of hope, to highlight the necessity of redefining hope at the end of life, and to emphasize the importance of sanctuary in engendering hope through relationship. Hospice is proposed as a sanctuary for the final days, where the patient, family, and health professional discover a new meaning of hope through shared human experience.

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)0.000
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.031
GPT teacher head0.349
Teacher spread0.318 · 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 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

Citations11
Published2004
Admission routes1
Has abstractyes

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