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Record W2032588599 · doi:10.1177/1471301207075648

Personhood in dementia care

2007· article· en· W2032588599 on OpenAlexaff
Deborah O’Connor, Alison Phinney, André Smıth, Jeff Small, Barbara Purves, JoAnn Perry, Elisabeth Drance, Martha Donnelly, Habib Chaudhury, Lynn Beattie

Bibliographic record

VenueDementia · 2007
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsSimon Fraser UniversityUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsDementiaPersonhoodContext (archaeology)PsychologyNeuropathologyDiseaseEpistemologyMedicineHistory

Abstract

fetched live from OpenAlex

Dementia has been understood primarily as a biomedical phenomenon with a trajectory of irrevocable decline related to neurodegenerative changes. However, growing evidence suggests that the performance and behaviour of persons with dementia are not exclusively determined by neuropathology but are also influenced by personal histories, social interactions and social contexts. This evidence shifts attention from the disease process to the need for a more in-depth understanding of the place of personhood in dementia care. Despite its intuitive appeal however, there is limited empirical research grounding this approach to care. This article articulates a framework for organizing research in this area that is based on a critical review and synthesis of research. It encompasses three interrelated and intersecting domains of inquiry: the subjective experience of the person with dementia, the immediate interactional environment and the broader socio-cultural context. Each domain encapsulates a unique but interrelated dimension of a person-centred approach to dementia care.

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)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.018
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0020.003
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 head0.013
GPT teacher head0.319
Teacher spread0.306 · 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 designTheoretical or conceptual
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

Citations189
Published2007
Admission routes1
Has abstractyes

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