Non‐job work/unpaid caring: Gendered industrial relations in long‐term care
Bibliographic record
Abstract
This article explores the operation of gender and industrial relations in long‐term care work or nursing home work, ‘from within’ the experience of the predominantly female workforce in seven unionized facilities in Canada. Drawing on qualitative case study data in non‐profit facilities, the article argues that the main industrial relations challenges facing long‐term care workers are that their workplace priorities do not fit within existing, gendered, industrial relations processes and institutions. This article starts from the experience of women and threads this experience through other layers of social organization such as: global and local policy directions including austerity, New Public Management, and social and healthcare funding; industrial relations mechanisms and policy; and workers’ formal [union] and informal efforts to represent their interests in the workplace. The strongest themes in the reported experience of the women include: manufacturing conditions for unpaid work; increasing management and state dependence on unpaid care work; fostering loose boundaries; and limiting respect and autonomy as aspects of care work. The article extends the feminist political economy by analysing the links between the policies noted above and frontline care work. Building on gendered organizational theory the article also introduces the concept of non‐job work and suggests a fourth industrial relations institution, namely the needs and gendered expectations of residents, families and workers themselves, operating within the liminal spaces in care 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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.024 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".