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When Hope Makes Us Vulnerable: A Discussion of Patient–Healthcare Provider Interactions in the Context of Hope

2004· article· en· W1988991015 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBioethics · 2004
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsDalhousie University
FundersKillam Trusts
KeywordsNormativeBioethicsContext (archaeology)Vulnerability (computing)Health careFunction (biology)PsychologyKey (lock)EpistemologyEngineering ethicsPsychotherapistSocial psychologyMedicineComputer sciencePolitical scienceLawComputer securityPhilosophyHistory

Abstract

fetched live from OpenAlex

When hope is discussed in bioethics' literature, it is most often in the context of 'false hopes' and/or how to maintain hope while breaking bad news to patients. Little or no time is generally devoted to the description of hope that supports these analyses. In this paper, I present a detailed description of hope, one designed primarily for the healthcare context. Noting that hope is an emotional attitude, four key aspects are explored. In particular, the function of imagination in hope is discussed in depth. Through an examination of the relationship between hope and vulnerability, I demonstrate how adequately describing hope can broaden the normative inquiry into the role of hope in healthcare. Three ways in which persons with hope can be vulnerable are illustrated, and the challenge of how healthcare providers can attend in moral ways to the hopes of patients is identified.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.366
Teacher spread0.312 · 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