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Record W2092014991 · doi:10.1108/jap-03-2014-0006

Understanding elder abuse and neglect in aging Chinese immigrants in Canada

2014· article· en· W2092014991 on OpenAlexaffabout
Daniel W. L. Lai, Gabrielle Daoust, Lun Li

Bibliographic record

VenueThe Journal of Adult Protection · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsElder abuseNeglectImmigrationContext (archaeology)Ethnic groupPsychologyMedicineGerontologyPoison controlSociologySuicide preventionPsychiatryPolitical scienceGeographyEnvironmental health

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to review and discuss existing literature and available research findings related to understanding elder abuse and neglect in culturally diverse communities, particularly the Chinese immigrant community in Canada. The conceptual understandings of elder abuse are examined, based upon the socio-cultural context and challenges faced by aging Chinese immigrants. Design/methodology/approach – Previous literature and research publications related to elder abuse and neglect related to Chinese in Canada were reviewed and synthesized. Statistical information and research findings were summarized to illustrate the socio-cultural context that defines elder abuse and neglect experienced by aging Chinese immigrants in Canada. Findings – From a culturally diverse perspective, influence of race, ethnicity, immigrant status, and cultural norms on the recognition, identification, prevention and intervention of elder abuse and neglect are important to consider. A key message for professionals working with the aging population, particularly older immigrants from ethno-cultural minority background, is that understanding the social cultural context in which elder abuse or neglect emerges is critical. For many of the aging Chinese immigrants in Canada, the socio-cultural circumstances that they have experienced, their social environment, and various barriers and challenges further prevent them from being aware of this emerging concern. Cultural norms and practices have played a critical role in their access to preventive and intervention services. Research limitations/implications – Although this paper is not based upon a particularly empirical research study, the research and literature synthesized are both empirically and conceptually based. As indicated in the review of previous research publications on the subjective matter of elder abuse and neglect in aging Chinese immigrants in Canada is limited. Research on various issues related to elder abuse and neglect in ethno-cultural minority communities is also relatively scant. Evaluation research on prevention and intervention programs is desperately needed so as to facilitate the further establishment of best practice prevention and intervention models that are culturally appropriate and effective. While research engagement with minority groups such as the aging Chinese immigrants who do not speak English or are not familiar with the research culture in the western civilization could be challenging, academic researchers and service providers in both the mainstream and ethno-cultural minority communities should further align themselves in practice-research partnership endeavors to ensure the safety and wellbeing of the aging vulnerable individuals could be better maintained. Practical implications – In order to provide culturally competent services, service providers should be aware of cultural differences in attitudes towards elder mistreatment, including the ways in which specific types of abuse (e.g. financial abuse) are defined within ethno-cultural communities, and the cultural values and experiences that shape these understandings and determine attitudes or barriers towards reporting, intervention, and service use. Originality/value – This paper is a first attempt in the research community to synthesize a few critical issues related to elder abuse and neglect in the aging Chinese immigrant community in Canada. The paper has connected previous empirical findings related to Chinese older adults as well as other culturally diverse aging populations to the conceptualization of elder abuse and neglect by considering the unique socio-cultural context faced by the ethnocultural older adults.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.159

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 studies0.0000.000
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 head0.025
GPT teacher head0.257
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2014
Admission routes2
Has abstractyes

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