“In the driver's seat”: Navigating vulnerability and autonomy in digital storytelling with older adults
Bibliographic record
Abstract
Digital Storytelling has emerged as a powerful tool for social change, providing a platform for uncovering and amplifying marginalized voices. While its application in gerontology has grown, previous workshops often exclude individuals in long-term care settings. This paper shifts the focus to care home residents, exploring how Digital Storytelling can facilitate participant agency in the face of their perceived vulnerabilities. Drawing on 11 virtual Digital Storytelling workshops in care homes on Vancouver Island, B.C., Canada, this study uncovers the nuanced relationship between vulnerability and autonomy in storytelling. It challenges the notion of autonomy as strictly individualistic, showcasing vulnerability as a pathway to agency within caring relationships. The analysis contributes new understanding to an Ethics of Care framework, demonstrating the enabling role of vulnerability in terms of promoting relational autonomy. The paper calls for a caregiving approach in research practices to support the inclusion of underrepresented individuals and contributes a specific angle to Digital Storytelling research by providing in-depth insight into the interrelations of vulnerability and autonomy within facilitator-participant relationships.
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 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".