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Record W7161814880 · doi:10.82308/41537

The impact of family transformations on intergenerational ties, caregiving and care receiving in Canada

2015· dissertation· en· W7161814880 on OpenAlexaboutno aff
France-Pascale Ménard

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsFertilityBaby boomAffect (linguistics)National Survey of Family GrowthDiversification (marketing strategy)Family lifeLife course approachPaternal careExtended family

Abstract

fetched live from OpenAlex

Over the last decades, families in Canada have experienced profound changes, marked by the decline in fertility and a rise in conjugal instability. These changes will inevitably affect the provision of care for tomorrow’s elderly, more specifically for the large baby-boom generation, those born between 1946 and 1965, who will all have crossed the threshold of age 65 in the next fifteen years. Despite the large number of studies on aging conducted in Canada and in other Western countries, the effects of the diversification of parental and conjugal trajectories on the support and care provided to seniors remain poorly understood. This is the main objective of this dissertation, which aims to examine the effects of family transformations on intergenerational relationships and eldercare. In the first chapter, we analyse the conjugal and parental trajectories that Canadian men and women born between 1923 and 1972 experienced throughout their lives, highlighting the differences observed across cohorts and gender. We run a series of life tables, using data from Statistics Canada’s General Social Survey’s (GSS) on family transitions (cycle 20), conducted in 2006. Our analysis shows that men and women born during the baby boom were more likely than their predecessors to go through multiple conjugal transitions and to do so earlier in their life. They were also more likely than previous generations to remain childless. Furthermore, they were more inclined to experience family life in a stepfamily. In the second chapter, we first estimate the impact of family transformations on the maintenance of intergenerational ties, measured as the frequency of contact between parents and their adult children. We further examine whether the probability to receive care if needed and the source of care (informal or formal) received due to a long-term health problem or physical limitation are influenced by individuals’ parental and conjugal trajectories. We run multivariate logistic regressions, using data from Statistics Canada’s 2007 (cycle 21) GSS on family, social support and retirement. Our results show that the maintenance of intergenerational ties varies depending on prior family events. We observe that the reception of care also varies depending on prior family events, and that the effect of current conjugal status depends on the number of unions experienced. In the third chapter, we analyze the effects of family transformations on the provision of care. We run multivariate sequential logistic regressions, using data from the 2007 GSS. These regressions explore the odds of, first, providing care as opposed to not providing care and, second, of providing care to kin (or a parent) rather than to non-kin (or a person other than a parent) among those who did so. Our results show that some characteristics of the respondents’ family of origin, most particularly having at least one parent alive and living in geographic proximity to one’s parents, strongly increase the odds of providing care and of helping a family member. Our results suggest that individuals’ past and current family experience has little effect on the provision of care among men, but has some effect for women. We note that women who were not in a union due to separation or widowhood have smaller odds of providing care to a kin member than those still in their first union. In summary, the results of the last two chapters of this dissertation suggest that the increase of family diversity and instability, as documented in the first chapter, may undermine intergenerational ties and the provision of eldercare in the future.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.744

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.006
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.305
Teacher spread0.290 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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