MétaCan
Menu
Back to cohort

An exploration of empowerment discourse within home-care nurses’ accounts of practice

2011· article· en· W1817793717 on OpenAlexafffundabout
Laura Funk, Kelli Stajduhar, Mary Ellen Purkis

Bibliographic record

VenueNursing Inquiry · 2011
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Victoria
FundersCanadian Institutes of Health ResearchHealth CanadaMichael Smith Health Research BC
KeywordsEmpowermentAutonomyPalliative careNursingFeelingPsychologyIndependence (probability theory)Qualitative researchIdeal (ethics)MedicineSociologySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

In this study, we explore how client and family caregiver 'empowerment' is interpreted by home-care nurses talking about their practice with palliative (and to a lesser extent, non-palliative) clients and families. We draw on secondary analysis of qualitative data collected through in-person interviews with 27 home-care nurses from a western Canadian health authority. First, we illustrate how the practice ideal of empowerment, in the sense of 'respecting autonomy and choices', can be understood as reflecting home-care nurses' needs to mitigate the emotional impact of feeling unable to effectively help palliative clients/families. Then, we illustrate how the practice ideal of empowerment, in the sense of 'promoting independence', can be understood to accomplish the need to shift responsibility for particular care tasks to clients and family members. Lastly, home-care nurses, talk about 'promoting choices' is also investigated. 'Choice' was framed narrowly with respect to allowing palliative clients and families to determine visit time and frequency. Findings are discussed in relation to the concept of 'responsibilization'.

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)0.021
metaresearch head score (Gemma)0.026
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 score0.032
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0160.043
Scholarly communication0.0100.010
Open science0.0020.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.360
GPT teacher head0.514
Teacher spread0.154 · 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

Citations27
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueNursing InquirySame topicMental Health and Patient InvolvementFrench-language works237,207