COVID-19 and social work in health care in Canada: What are the impacts?
Bibliographic record
Abstract
The COVID-19 pandemic has profoundly affected the world. In Canada, the impact has been worrisome. Canada is a large, sparsely populated country with a system of universal health care that is decided nationally and enacted by each province and territory. There are variations in health care, as well as in the provision of social work, throughout the country. The aim of this survey is to examine the impact of the COVID-19 pandemic on social workers employed in health care. Participants were recruited for an online survey via social media, professional associations, and social work education programs. Three hundred and seventy-six social workers participated. Analyses were performed to: (1) investigate the changes in workplace conditions indicated by social workers as a result of the COVID-19 pandemic; (2) examine reported levels of distress, social support, quality of professional life, resilience, and posttraumatic growth among respondents during this time; and (3) contextualize these findings by exploring similarities and differences across geographic locations. Many respondents were deemed essential workers. Significant differences across regions were not found. The knowledge generated has important implications for all sectors of the social work profession in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".