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Record W2110257253 · doi:10.1093/bjsw/bcr006

Beyond Favourable Attitudes to End-of-Life Rights: The Experiences of Israeli Health Care Social Workers

2011· article· en· W2110257253 on OpenAlexaff
Ronit D. Leichtentritt

Bibliographic record

VenueThe British Journal of Social Work · 2011
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsSocial workPerceptionPsychologyHealth careSocial psychologySocial positionPersonal lifeEnd-of-life careNursingPosition (finance)Multidisciplinary approachQualitative researchPublic relationsSociologyMedicinePalliative carePolitical scienceLawSocial relationBusiness

Abstract

fetched live from OpenAlex

This is a qualitative study of eighteen Israeli health care social workers' experiences at times of end-of-life decisions in light of the 2007 law that legitimises patients' rights to withhold life-sustaining treatments under certain conditions. Results convey a troublesome picture in which social workers tend to remove themselves from involvement in these decisions due to an experience of inefficiency. The study reveals two main obstacles to involvement in end-of-life decisions: (i) fears about the well-being of the dying patient, his/her family members, their colleagues and themselves; and (ii) the impossible position of social workers due to conflicting demands between (a) perception of their role and expectations of the multidisciplinary team, (b) personal views and the patient's wishes, (c) personal views and professional norms, (d) organisational principles and the new law, and (iii) the patient's rights and the procedures required to implement them. Implications for social work education and socialisation, as well as the practice of health care social workers, are discussed.

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)0.009
metaresearch head score (Gemma)0.015
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: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0170.022
Scholarly communication0.0070.004
Open science0.0020.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.086
GPT teacher head0.380
Teacher spread0.294 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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