Becoming parents again: Challenges affecting grandparent primary caregivers raising their grandchildren
Bibliographic record
Abstract
BACKGROUND: A growing number of Canadian children live in the care of their grandparents, called skip-generation families. Reasons for this include teen pregnancy, death of a parent, mental/physical illnesses, and addictions. These grandparents and grandchildren are at increased risk of physical and mental illness, yet have few resources available to them. OBJECTIVE: Our study aims to describe the lived experiences of skip-generation families to better identify their needs. METHODS: We conducted semistructured interviews of grandparent primary caregivers from ten households in our community to chronicle their experiences raising their grandchildren. Participants were recruited by paediatricians using convenience sampling. Interviews were recorded, transcribed, and coded using Atlas Ti software, and classified into themes by consensus. RESULTS: Five primary themes emerged from the interviews: (1) Changes in family dynamics, (2) Psychosocial impact on grandchild and grandparent, (3) Lack of resources for grandparent caregivers, (4) The challenges of parenting later in life, and (5) Resilience inspired by the love of family. Many participants (n=10) described feeling unsupported after assuming care of their grandchildren and identified a need for additional counselling services, financial support and respite care. All (n=11) highlighted that caring for their grandchildren changed their lives in positive ways. CONCLUSION: When grandparents are prioritized as primary caregivers for their grandchildren, our study suggests they receive insufficient community resources to meet their emotional, respite and financial needs. Further research involving this population in Canada is required. Paediatricians can play an essential role in recognizing these vulnerable families and advocating for additional supports and services.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".