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Record W1748090610

The implications of occupational deprivation experienced by elderly female immigrants

2008· article· en· W1748090610 on OpenAlexaboutno aff
Cary A. Brown

Bibliographic record

VenueDiversity & Equality in Health and Care · 2008
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationAcculturationGerontologyHealth carePopulationResource (disambiguation)MedicinePsychologySociologyEconomic growthPolitical scienceEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Canada’s immigration policy favours family reunification, and many elderly parents follow their adult children into new lives in Canada. In particular, the population of elderly immigrant women living with adult children is growing rapidly. Todate there are few theoretical models to guide research in this area although this subgroup ofimmigrants has been identified as having unique characteristics that warrant urgent research attention.The limited research that exists links immigration, acculturation and communication problems with negative physical and psychological health for immigrant women. One paradigm that holds promise for understanding and responding to the health needs of older immigrant women is that of occupational science. Occupational science proposes that ‘humanengagement is integral to everyday living as people of all ages plan, structure and use their time doingthe things they need and want to do’. Occupational deprivation is a subconstruct of occupational scienceand refers to situations in which people’s needs for meaningful and health-promoting occupations go unmet or are institutionally denied. Currently we do not understand the impact of occupational deprivation on the health of older immigrant women and how this influences their healthcare utilisation. It is probable that the needs of this unique, and growing, group of elderly women have important implications for health planning and resource utilisationthat are only just beginning to be recognised.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.229
GPT teacher head0.499
Teacher spread0.270 · 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 designObservational
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

Citations14
Published2008
Admission routes1
Has abstractyes

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