Seniors’ Long‐Term Care in Canada: A Continuum of Soft to Brutal Privatisation
Bibliographic record
Abstract
Abstract We situate the contemporary crisis of COVID‐19 deaths in seniors’ care facilities within the restructuring and privatisation of this sector. Through an ethnographic comparison in a for‐profit and nonprofit facility, we explore what we identify as brutal and soft modes of privatisation within publicly subsidised long‐term seniors’ care in Vancouver, British Columbia, and their influence on the material and relational conditions of work and care. Workers in both places are explicit that they deliver only bare‐bones care to seniors with increasingly complex care needs, and we document the distinct forms and extent to which these precarious workers give gifts of their time, labour and other resources to compensate for the gaps in care that result from state withdrawal and the extraction of profits within the sector. We nonetheless locate more humane and hopeful processes in the nonprofit facility, where a history of cooperative relations between workers, management and families suggest the possibility of re‐valuing the essential work of care.
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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) | 0.000 | 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 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".