Penser à la retraite en ayant un enfant à besoins particuliers
Bibliographic record
Abstract
Au Québec, les femmes accumulent généralement moins de richesses au cours de leur vie que les hommes, entre autres en raison des tâches associées à leur rôle de mère. La gestion de l’épargne au sein des couples peut influencer leur accumulation de richesse, mais ce sujet a peu été étudié au Québec. Par ailleurs, des recherches démontrent que les parents d’enfants à besoins particuliers ont souvent une quantité importante de travail de soins à effectuer auprès de leur enfant lorsqu’iel est en bas âge. Cela peut avoir, principalement pour les mères, des impacts significatifs sur l’inscription sur le marché du travail rémunéré. Toutefois, peu de recherches portent sur l’expérience des parents de personnes majeures. Il y a donc un manque de connaissances par rapport à la situation économique des mères et des pères vieillissant.e.s qui ont un enfant à besoins particuliers. En étudiant de façon qualitative la préparation à la retraite de parents dans cette situation, la présente recherche permet de souligner les impacts à long terme de la division genrée des tâches. Elle permet aussi de mettre en lumière les modalités de planification financière de la retraite entre conjoint.e.s et les réflexions de ces parents quant à leur avenir et celui de leur enfant. \n \nIn Quebec, women tend to accumulate less wealth than men in the course of their lives, due among other factors to motherhood and their gendered role in the household. Few studies focus on the savings management between couples, which can impact the personal wealth accumulation of both spouses. Furthermore, it is known that parents of young children with special needs have an important added workloads due to the care needed by their child. This can have important impacts on involvement in the paid labor market, especially for women. However, few researches study the situation when the child is an adult. This leads to a lack of knowledge about the economic situation for aging parents of children with disabilities. Using a qualitative approach, this research studies the retirement preparation of coupled parents in this situation. It focuses on the long-term impacts of gendered division of labor, the financial preparation for retirement between spouses, as well as how these parents envision their future and their child’s 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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".