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Record W2046212772 · doi:10.1177/1471301211421063

Moving beyond patient and client approaches: Mobilizing ‘ <i>authentic partnerships</i> ’ in dementia care, support and services

2011· article· en· W2046212772 on OpenAlexaff
Sherry L. Dupuis, Jennifer Gillies, Jennifer Carson, Colleen Whyte, M. Rebecca Genoe, Lisa Loiselle, Leah Sadler

Bibliographic record

VenueDementia · 2011
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of ReginaUniversity of Waterloo
Fundersnot available
KeywordsDementiaGeneral partnershipPaternalismContext (archaeology)DirectivePsychologyNursingMedicineDiseasePolitical science

Abstract

fetched live from OpenAlex

In the 1940s, Carl Rogers introduced the notion of a client-centred or person-centred approach, originally called the ‘non-directive approach’. Over the past several decades, however, we have lost sight of the true intent behind Roger's relational approach, settling instead on well-intended but often paternalistic approaches that place patients or clients at the centre of care, but rarely, if ever, actively involve them in decision-making. This is no more apparent than in the case of persons living with Alzheimer's disease and other related dementias who, due to the stigma and misunderstanding surrounding dementia, are often assumed to lack the capacity to be involved in their own care and the care of others. Drawing on our experience working directly with persons with dementia, family members and professionals, and systematic research on a number of mutual partnership initiatives, the purpose of this paper is to present an alternative approach, one that views persons with dementia as equal partners in the context of dementia care, support and formal services.

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)0.052
metaresearch head score (Gemma)0.039
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 score0.052
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0200.050
Scholarly communication0.0280.031
Open science0.0050.042
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0070.001

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 head0.241
GPT teacher head0.346
Teacher spread0.105 · 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

Citations133
Published2011
Admission routes1
Has abstractyes

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