The implications of occupational deprivation experienced by elderly female immigrants
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".