Liminal and invisible long-term care labour: Precarity in the face of austerity
Bibliographic record
Abstract
Using feminist political economy, this article argues that companions hired privately by families to care for residents in publicly funded long-term care facilities (nursing homes) are a liminal and invisible labour force. A care gap, created by public sector austerity, has resulted in insufficient staff to meet residents' health and social care needs. Families pay to fill this care gap in public funding with companion care, which limits demands on the state to collectively bear the costs of care for older adults. We assess companions' work in light of Vosko's (2015) and Rodgers and Rodgers' (1989) dimensions for precariousness. We discuss how to classify paid care work that overlaps with paid formal and unpaid informal care. Our findings illuminate how companions' labour is simultaneously autonomous and precarious; it fills a care gap and creates one, and can be relational compared with staffs' task-oriented work.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.042 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.012 |
| 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".