MétaCan
Menu
Back to cohort
Record W152450897 · doi:10.1177/082585970602200205

“Changing Lanes”: Facilitating the Transition from Curative to Palliative Care

2006· article· en· W152450897 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.

Bibliographic record

VenueJournal of Palliative Care · 2006
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
Fundersnot available
KeywordsPalliative careNursingGrounded theoryPerspective (graphical)Quality (philosophy)End-of-life careMedicinePsychologyWork (physics)Qualitative researchSociology

Abstract

fetched live from OpenAlex

Little empirical work has been conducted assessing the perspectives of nurses regarding the barriers, facilitators, and strategies associated with achieving quality patient care at the end of life. A grounded theory study was conducted examining nursing behaviours and social processes inherent in the provision of quality end-of-life care from the perspective of generalist nurses (n = 10) working in an acute care setting. An inductively derived preliminary model, "creating a haven for safe passage", was developed based on the findings from this study and has been published elsewhere (1). This article provides a detailed description of one of the subprocesses of the model regarding the transition from curative to palliative care--the subprocess of "facilitating and maintaining a lane change". The various strategies which nurses used to effect a lane change, as well as the facilitators and barriers they encountered in this process, are presented. The consequences associated with both successful and unsuccessful lane changes are reported.

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)0.000
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 score0.037
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.400
Teacher spread0.315 · 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