Relationship-Based Care Work, Austerity and Aged Care
Bibliographic record
Abstract
Home care and aged care in English-speaking countries around the globe have enthusiastically taken up a model of work known as ‘relationship-based care’ (RBC). Part of the popularity of RBC is because it does not challenge austerity, underfunding, and extensive managerialism. Instead it works within and through them to foster caring connections between patients, staff, and families, and is able to do so because workers are willing to self-sacrifice for clients. Drawing on case study data collected using a ‘rapid ethnography’ methodology in two large Australian aged care organisations, this article explores workers’ experience of work and contributes to Bolton’s typology of emotion management in the relationship-based care endeavour. Our typology includes: (1) austerity-linked sacrifice; (2) official discourse; (3) faux control; and (4) compulsory time philanthropy. The article contributes to debates on care work, relationship-based care, emotional labour, and emotion management and working in the context of austerity and managerialism.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.031 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".