Liminality in Ontario’s long-term care facilities: Private companions’ care work in the space ‘betwixt and between’
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nursing, personal care, food and cleaning are publicly funded in Ontario's long-term care facilities, but under-staffing usually renders all but the most basic of personal preferences superfluous. This individualization of responsibility for more personalized care has resulted in more families providing more care and opting to hire private, private companion care. With direct payment of companions becoming a growing but largely invisible facet of care, exploring companion's roles is important. Using a six site rapid ethnographic study in long-term care facilities (i.e. observations, documents and key informant interviews (n=167)), this paper argues that private companions occupy a liminal space between policy, family and market, and their role within institutions and in private homes may be the missing link in the care work chain in the sense that it can at once be classified as formal and informal and draws on their own and others paid and unpaid labour.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it