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Record W4405199279 · doi:10.1177/15271544241298656

The Construction of British Columbia's Palliative Care Benefits Policy and Implications for Nursing Practice

2024· article· en· W4405199279 on OpenAlexaffabout
Helen Brown, Lydia Wytenbroek, Farinaz Havaei

Bibliographic record

VenuePolicy Politics & Nursing Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPalliative careNursingGovernment (linguistics)DialecticMedicineConstruct (python library)Sociology

Abstract

fetched live from OpenAlex

Nurses have a critical role to play in creating, implementing, critiquing, and advancing health policy within diverse contexts to ensure people living with life-limiting illness receive equitable and ethical access to palliative care services and programs. This article describes a critical analysis of the British Columbia's Palliative Care Benefits (BCPCB). The BCPCB is a provincial government program in British Columbia (B.C.), Canada, that provides eligible residents with palliative care services at home. Utilizing Fairclough's Dialectical-Relational Critical Discourse Analysis, the study investigates the process by which BCPCB determines B.C. residents' eligibility and access to resources proportionate to their need, function, illness burden, and urgency. This article reviews the construction of palliative care in Canada and how current biomedical perspectives construct palliative care policy and services in B.C. The findings indicate that the BCPCB program produces vague, discriminatory, and ableist prognostication practices through the implementation of its eligibility policy. This article also suggests that palliative care nurses are optimally positioned for policy influence: to critique, disrupt, and transform the BCPCB Program and palliative care practices.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.095
GPT teacher head0.488
Teacher spread0.393 · 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 designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

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