Personal Support Worker Socio-Demographic Differences Across Care Sectors in Canada
Bibliographic record
Abstract
With the growing reliance on Personal Support Workers (PSWs) in health care delivery for older adults across hospital, nursing and long-term care home, and home and community (HC) sectors, understanding the PSW labor market is critical for healthcare human resource capacity to care for an aging population. This study utilizes a longitudinal, cross-provincial, individual-level dataset of PSWs in Canada from 1996-2010 to provide socio-demographic characteristics of PSWs by sector. Means, proportions, and multivariate tests of significance showed that PSWs differed significantly by care sector across many factors-including sex, health, family, and education characteristics. That HC PSWs were more likely to be older with lower health and higher disability status is important to consider when examining labor policies. Evidence of sector heterogeneity can lead to important differential effects on PSW labor supply behaviors and this research highlights the importance of tailoring initiatives aimed at recruitment and retention by sector.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".