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Record W2123337715 · doi:10.1177/0269216309346596

Creating social work competencies for practice in hospice palliative care

2009· article· en· W2123337715 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePalliative Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsLakehead UniversitySt Joseph's Health CareBrandon Regional Health AuthorityWinnipeg Regional Health AuthorityWilfrid Laurier UniversityNOSM UniversityUniversity of British Columbia
FundersCanadian Institutes of Health ResearchHealth CanadaPartenariat Canadien Contre Le Cancer
KeywordsPalliative careSocial workNursingMedicineDelphi methodCore competencyMedical educationManagementPolitical science

Abstract

fetched live from OpenAlex

Social workers play an important role in the delivery of Hospice Palliative Care in many diverse settings. The profession brings a unique perspective to end-of-life care that reflects and supports the holistic philosophy of Hospice Palliative Care. Despite the prominent and longstanding position of social work in this area, the role and functions of social workers had not been clearly defined. A Canadian task group of social work practitioners and educators utilized a modified Delphi process to consult front line clinicians nationally, and thereby achieved consensus regarding the identification and description of eleven core competencies in Hospice Palliative Care. These competencies are relevant for social workers at different experience levels across care settings. They can be used to inform social work practice, as well as professional development and educational curricula in this area.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
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 head0.127
GPT teacher head0.452
Teacher spread0.325 · 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