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Pediatric End-of-life Care: Lessons Learned From Parents

2002· article· en· W2005023851 on OpenAlexaffabout
Betty Davies, Sharon Connaughty

Bibliographic record

VenueJONA The Journal of Nursing Administration · 2002
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsVancouver Native Health Society
Fundersnot available
KeywordsVariety (cybernetics)NursingExecutive directorHealth carePsychologyLibrary scienceMedicineManagementPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Betty Davies, PhD, RN, Professor and Chair, Family Health Care Nursing Department, School of Nursing, University of California San Francisco ([email protected]). Sharon Connaughty, MHSc, RN, Nursing Consultant, Vancouver, British Columbia. "Consider this . . ." gives you quick access to innovative ideas, research findings, interesting solutions to common problems, and more from a variety of sources. For the busy nurse executive, JONA asks you to "Consider this . . . "

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.156
GPT teacher head0.394
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations52
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueJONA The Journal of Nursing AdministrationSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207