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Record W2068440321 · doi:10.5770/cgj.15.37

A Meta-Ethnography of Paid Dementia Care Workers’ Perspectives on Their Jobs

2012· article· en· W2068440321 on OpenAlexaffvenue
Cheryl Cook, Sherri Fay, Kenneth Rockwood

Bibliographic record

VenueCanadian Geriatrics Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsDalhousie UniversityNova Scotia Health AuthorityCapital District Health Authority
Fundersnot available
KeywordsDementiaCare workEthnographyMedicineTheme (computing)Work (physics)NursingGerontologySociologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: While much work has been to evaluate paid workers' perspectives on the care they provide dementia patients, there is no evidence of any systematic review of this topic. METHODS: We conducted a meta-ethnography of the topic "paid dementia care workers' perspectives on their jobs." Multiple databases were searched for qualitative work that reported on workers' opinions and perspectives on their jobs in dementia care, including all settings and types of jobs. A final group of 34 articles were included, and their themes and constructs synthesized using a meta-ethnographic approach developed by Noblit and Hare. RESULTS: FIVE OVERARCHING THEMES UNCOVERED: approach to care, education and training, emotional impact of the work, organizational factors, and relationships on the job. We also describe how the themes are related to each other. CONCLUSIONS: Interplay of the theme areas shows the importance of dementia- specific education and training in terms of the approach to care and emotional impact of the work. Closing the gap between policy and practice is critical, but achieving this will require that attention be paid to dementia-specific education for all workers, including care leaders.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.315
Teacher spread0.247 · 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 teacher head, not a consensus.

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

Citations7
Published2012
Admission routes2
Has abstractyes

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