MétaCan
Menu
← Back to cohort
Record W2298712817

Participatory knowledge exchange to support palliative care in Chile: lessons learned through global health research.

2011· article· en· W2298712817 on OpenAlexaffabout
Brenda L. Cameron, Anna Santos Salas, Donna deMoissac

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPalliative careCitizen journalismGeneral partnershipNursingParticipatory action researchQualitative researchMedicineTeamworkHealth careFamily medicineSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The authors designed a participatory qualitative research study to develop a collaborative partnership between palliative care practitioners in Canada and in Chile. The research goal was to support the provision of palliative care in vulnerable settings through a participatory knowledge exchange process using qualitative and participatory methodologies. The study involved an interprofessional palliative care team from a primary health care centre in Chile and 5 adults receiving palliative care and their relatives. It also involved the participation of registered nurses and allied health professionals from a palliative home care team in Canada. Participatory knowledge exchange activities included teamwork with the primary health care team in Chile and a process of participatory knowledge exchange with palliative care clinicians in Chile and Canada. The study produced qualitative evidence on the efficacy of a process of participatory knowledge exchange with palliative care practitioners from 2 diverse settings.

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)0.066
metaresearch head score (Gemma)0.054
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0660.054
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0080.014
Scholarly communication0.0060.009
Open science0.0020.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.774
GPT teacher head0.576
Teacher spread0.197 · 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

Citations3
Published2011
Admission routes2
Has abstractyes

Explore more

Same venuePubMed→Same topicPalliative Care and End-of-Life Issues→French-language works237,207→