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Record W4235716695 · doi:10.24124/2017/1343

Wisdom in quiet observation: hospice palliative social work

2017· dissertation· en· W4235716695 on OpenAlexaffabout
Brenda M. Drazdoff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsPracticumSocial workPalliative careBiopsychosocial modelNursingLegislationSociologyMedical educationPedagogyPsychologyMedicinePolitical sciencePsychotherapistLaw

Abstract

fetched live from OpenAlex

This practicum report is a summary and reflection upon a Master of Social Work practicum completed at Victoria Hospice, supporting my desire to understand the role of a social worker within an interdisciplinary hospice palliative healthcare team. Several aspects of my practicum experience are explored through a literature review, embracing a biopsychosocial-spiritual model of practice. Included is a brief examination of Medical Assistance in Dying (MAiD) and its legislation in Canada. The knowledge gained from this practicum will guide my hospice palliative social work practice in northern BC, which in turn will provide a learning environment for future social work students wanting to specialize in this area of practice.

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)0.009
metaresearch head score (Gemma)0.013
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: none
Teacher disagreement score0.010
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0070.005
Open science0.0010.008
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.203
GPT teacher head0.465
Teacher spread0.262 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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