Staff perspectives on families’ unpaid work in care homes
Bibliographic record
Abstract
This chapter draws on staff interview data and fieldnotes to examine the perspectives of staff and the relationships they have with relatives' families in Canadian, Norwegian and Swedish nursing homes. Jurisdictional contextual differences, including models of care, staffing levels and work organisation, vary considerably. These different contextual conditions shape the various roles that families navigate alongside and with staff, and the amount and form of unpaid work in which they engage. These conditions also shape the types and depth of relationships that form between staff and families. Such factors as having a contact-person model, small units and high staffing levels leave room and space for closer social connections between residents, family and staff and more continuity. However, these systems are not achievable without sufficient staffing levels and managerial support. Without them, there will continue to be tensions between staff and families and demands on both families and staff to bridge care gaps with unpaid work.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".