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Record W2111454837 · doi:10.12968/ijpn.2007.13.8.24535

Crossing over: transforming palliative care nursing services

2007· article· en· W2111454837 on OpenAlexaff
Mary Murray

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPalliative careNursingService delivery frameworkBaby boomersConceptual modelService (business)MedicineConceptual frameworkHealth care deliveryHealth careBusinessSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Over the next decades, as the baby boomers age, there will be a considerable demand and need for 'end-of-life care'. At the same time, there are numerous efforts to reform health care systems with a growing emphasis on evidence-based and patient-centred care. The current dominant model of palliative nursing is not sufficient. A model of palliative care nursing service delivery nested with a chronic condition management model epitomised by collaboration, communication and values-sensitive decision support is proposed. Multiple antecedents impacting palliative care delivery for the future are explored. A description of how the conceptual framework could be used to guide implementation and evaluation of nursing services is included. Specific implications for planning and outcomes measurement 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)0.011
metaresearch head score (Gemma)0.022
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0080.010
Open science0.0020.014
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0120.003

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 head0.080
GPT teacher head0.476
Teacher spread0.396 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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