Baby-boomers and the ‘denaturalisation’ of care-giving in Quebec
Bibliographic record
Abstract
ABSTRACT The North American post-war generation, known as the baby-boomers, has challenged traditional family relations and the sexual division of labour. How do these challenges play out in the face of frail, ill or disabled family members? A study undertaken in Montreal, Quebec, with baby-boomer care-givers aimed to raise understanding of the realities of this group. We met with 40 care-givers for a one and a half-hour qualitative interview to discuss their identification with their social generation, their relationship to care-giving, their values regarding care-giving, and the reality of the care-giving they offer. The findings indicate that women, in particular, no longer identify themselves mainly in terms of family. For most, care-giving is not their only or even their dominant identity. They are actively trying to maintain multiple identities: worker, wife, mother, friend and social activist, alongside that of care-giver. They are also participating in the very North American process of individualisation, leading to what we call the ‘denaturalisation’ of care-giving. Notably, the women we met with call themselves ‘care-givers’ and not simply wives, daughters or mothers, denoting that the work of care-giving no longer falls within the realm of ‘normal’ family responsibilities. These care-givers thus set limits to their caring commitments and have high expectations as to services and public support, while still adhering to norms of family responsibility for care-giving.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".