MétaCan
Menu
Back to cohort
Record W1515320647 · doi:10.1177/082585970802400402

Research Priorities in Pediatric Palliative Care: A Delphi Study

2008· article· en· W1515320647 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Palliative Care · 2008
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsWilfrid Laurier UniversityUniversity of British ColumbiaYork University
Fundersnot available
KeywordsPalliative careDelphi methodNursingMedicineFamily medicineMEDLINEDelphiPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Pediatric palliative care is increasingly recognized to be a specialized type of care requiring specific skills and knowledge, yet, as found in several countries, there is little available research evidence on which to base care. OBJECTIVES: The goal of the project was to achieve consensus among palliative care practitioners and researchers regarding the identification of pertinent lines of research. METHOD: A Delphi technique was used with an interdisciplinary panel (n = 14-16) of researchers and frontline clinicians in pediatric palliative care in Canada. RESULTS: Four priority research questions were identified: What matters most for patients and parents receiving pediatric palliative services? What are the bereavement needs of families in pediatric palliative care? What are the best practice standards in pain and symptom management? What are effective strategies to alleviate suffering at the end of life? CONCLUSIONS: These identified priorities will provide guidance and direction for research efforts in Canada, and may prove useful in providing optimal care to patients and families in pediatric palliative care.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.163
GPT teacher head0.450
Teacher spread0.286 · 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