Beyond the sandwich generation: the lived experiences of older Prince Edward Island women caregivers caring for an older adult
Bibliographic record
Abstract
This research examined the experiences of older Prince Edward Island women in providing care to an aging parent, partner, family member, or friend. I investigated these experiences using a feminist lens to recognize the valuable experience of women and use their voice in bringing attention to the issues related to caregiving. This study was designed to answer three research questions: 1) What is the experience of older female caregivers living on Prince Edward Island? 2) What does it mean to be caregiver? 3) How do Prince Edward Island women describe caregiving? These questions were designed to determine what experiences, meaning, and description caregivers assign to their work and what can be learned from these experiences. Previous research in the field of caregiving has largely focused on quantitative measures of caregiver burden, activities of daily living, or access rates for caregiver support. I conducted one-to-one, in-depth interviews based on open-ended questions designed to encourage participants to share their experience. This qualitative study has advanced understanding of the caregiver experience on Prince Edward Island by highlighting the challenges faced in providing care, as well as the positive growth associated with the role. The findings offer insights in engaging family caregivers in policy and strategy development and implementation. It also offers a vision for the continued integration of social work services for aging Islanders and their families. The need for specific skills and training in gerontological social work, including a focus in end-of-life care, advocacy, and counseling support has been demonstrated.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".