"With a hint she will remember": Collaborative Storytelling and Culture Sharing between Immigrant Grandparents and Grandchildren Via Magic Thing Designs
Bibliographic record
Abstract
The timeless social activity of passing down oral stories preserves family memory, identity, values, and culture. Existing tools for family memories often take a techno-determinist approach by focusing on the mechanics of connecting families and the resulting documentation, rather than the social process of sharing stories and morals, and largely without considering the specific needs of immigrant families. For immigrant families, cultural exchange, particularly crucial across grandparent and grandchild generations, is threatened by the language and cultural barriers emerging from displacement and migration. As a result, immigrant grandparents and their young grandchildren struggle with fostering social kinship, leading to social disconnect and loss of cultural heritage. In our research, we collaborate with multi-generational and culturally-at-risk immigrant families through Participatory Design activities towards the design of reminiscence tools that support their needs focusing on language and cultural connection. We report on the designs created by families and propose design guidelines supporting cultural resilience, focusing on flexible, visual storytelling.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".