Shared Care, Valued Knowledge: How Family Caregivers and Healthcare Workers Negotiate Hybrid Caregiving Expertise through Relational Collaboration
Bibliographic record
Abstract
By analyzing two narratives of encounters between family caregivers from minority ethnocultural groups and healthcare professionals, this paper explores the communicative and collaborative challenges involved in integrating diverse forms of caregiving expertise in healthcare, particularly in contexts where task-based medical expertise is prioritized over relational, experiential expertise. We then illustrate how a dialogic approach to caregiving partnership can support both healthcare workers and family caregivers, especially those from minority backgrounds, in building quality relationships and co-constructing a hybrid caregiving expertise that merges task-oriented and relationship-centered knowledge. For such partnerships to emerge, interactional partners must strengthen their relational collaboration skills by demonstrating respect, cultural humility, compassion, and trust. This kind of relational work provides the impetus for moving beyond fragmented care and creating more culturally appropriate care trajectories.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.025 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.003 | 0.005 |
| 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".