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Record W1928380639 · doi:10.7202/1024000ar

Vieillissement réussi : perception des femmes aînées immigrantes de l’Afrique noire à Montréal

2014· article· fr· W1928380639 on OpenAlexaffvenueabout
Agnès Florette Noubicier, Michèle Charpentier

Bibliographic record

VenueSanté mentale au Québec · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

OBJECTIVES: This article focuses on older immigrant women from Black Africa living in Montreal. Its purpose is to present the meaning that they give to "successful aging" in their hosting country and to highlight the factors they consider essential to experience "a maximum of satisfaction and happiness" during this stage of their life. It is based on the fact that Quebec society is facing an ever increasing aging of its population which is accompanied with a more and more significant ethnocultural diversification due to immigration. Statistically the number of black women over 65 years increases over the years. In Canada, older women in general are victims of various social inequalities. These vulnerabilities are even more flagrant when one comes from a visible ethnocultural community and can have a biopsychosocial impact on the lives of these older women. These situations justify our concern for the quality of life and well-being of these aged women. METHOD: Our methodology leans on an exploratory qualitative approach conducted with seven women aged from 65 to 77 years who immigrated to Canada when they were more than 50 years old. Five of them had less than 10 years of stay in Quebec while the other two were 18 and 20 years. To gather their views, semi-structured interviews were recorded, transcribed and coded. The content was analyzed with an approach inspired by analysis techniques of data from the grounded theory. Then, an intersectional analytical framework has been favored, firstly to understand the complex nature of various forms of identities and social inequalities experienced by the participants, and secondly to examine the connections between discriminatory phenomena such as ageism, racism or sexism, ethnicity and even the migratory journey. RESULTS: As results, this research allows noting that older immigrant women of Black Africa are facing many difficulties due to the interrelation of their age, their ethnic background, their gender, with other aspects of their identity such as culture, language, and migratory course. Anyway, it is important to emphasize that the majority looked at aging and this time of their life as normal and even as a privilege. Their comments reflected no denial, no bitterness, and no regret. These women who presented themselves as resourceful people, hardworking, determined and combative have enumerated four key elements that they find essential for successful aging: social engagement, intergenerational relationships, financial autonomy and faith. Even though a multitude of obstacles affects their perception of "successful ageing," their stories have demonstrated their ability to cope with difficulties and have shown their inner strengths. Black African older women are working hard to integrate or adjust to an environment in which changes and novelty are not always favorable to their development. CONCLUSION: If old age is undoubtedly a woman's world, it is also more and more diverse and multi-ethnic. In an ever-changing immigration environment, the results of this study cannot be generalized because of the limited number of participants. However, this research clearly shows that significant efforts are still required to tackle the problems and obstacles faced by older and aging ethnic minorities. Beside limitations identified in this study, several avenues of research could be considered, particularly with regard to their relationship to health services, in conjunction with language and cultural barriers. It is therefore appropriate to interpellate government officials to take into account in their new social policies: gender, ethnicity, economic conditions, social isolation, and poor access to health services of aged immigrant women.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.330
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations10
Published2014
Admission routes3
Has abstractyes

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