Exploring Stories of Reciprocity in Intergenerational Programming
Bibliographic record
Abstract
Ageism, individualism, and the dominance of nuclear families through capitalist and settler colonial policies have contributed to an age-segregated society with fewer connections between generations in dominant Canadian society. In response to our current social context, intergenerational programs (IGPs) that facilitate the development of reciprocal, non-familial relationships between generations have become increasingly popular. Despite a growing body of research on IGPs, contextualized and in-depth knowledge of the experiences of older adults and youth are largely missing. Additionally, very few studies explicitly center reciprocity within intergenerational relations, and instead focus on the impacts of these relationships for only one generation. I used narrative inquiry methodology to explore in depth the experiences of reciprocity of four youth and four older adults involved in an IGP in Calgary, Alberta. I used individual narrative interviews and participatory video methods to elicit stories about the intergenerational friendships that participants formed in the IGP and the impacts of these relationships. Through narrative analysis, I identified four resonant threads across individual interview transcripts and videos. These resonant threads offer a deeper understanding of youth and older adults’ experiences of reciprocity within their intergenerational friendships and speak to the complexities of reciprocity within these relations. I conclude by reflecting on how these stories can change the way we think about, conduct research on, and facilitate IGPs and make recommendations for research, social work practice, and policy. Keywords: intergenerational program, reciprocity, older adults, youth, narrative inquiry, participatory video, social work
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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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".