Developing a Comprehensive Understanding of Older Person Abuse in Canadian Immigrant Communities: An Integrative Review
Bibliographic record
Abstract
Older immigrants represent 28% of the Canadian population who are over the age of 60. World-wide 1 in 6 older persons experiences abuse. Due to population aging, attention must be paid to the abuse and victimization of older immigrant persons, and the concept of elder abuse. The purpose of this integrative review was to understand elder abuse from the perspective of older immigrants, who came to Canada in their 60s or older as dependents of families or sponsors. Whittemore and Knafl's (2005) method of review resulted in six articles that met the inclusion criteria. Results revealed three themes: conceptualization of abuse, post-immigration stressors and cultural factors, and barriers to access support and protection. The perpetrators were often close family members including intimate partners, spouses, children, children-in-laws and grandchildren. Contextual factors that influenced abuse included: power imbalance, change in social status from head of the families to legal and financial dependents due to immigration, culture, ethnicity, gender role expectations and language barrier. More research is needed to understand the diverse older immigrants experiences of elder abuse.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".