Social Estrangement and Psychological Distress before and during the COVID-19 Pandemic: Patterns of Change in Canadian Workers
Bibliographic record
Abstract
This article argues that the COVID-19 pandemic and associated social distancing measures intended to slow the rate of transmission of the virus resulted in greater subjective isolation and community distrust, in turn adversely impacting psychological distress. To support this argument, we examine data from the Canadian Quality of Work and Economic Life Study, two national surveys of Canadian workers-one from late September 2019 (N = 2,477) and the second from mid-March 2020 (N = 2,446). Analyses show that subjective isolation and community distrust increased between the two surveys, which led to a substantial rise in psychological distress. Increases in subjective isolation were stronger in older respondents, resulting in a greater escalation in psychological distress. These findings support a Durkheimian perspective on the harm to social integration and mental health caused by periods of rapid social change but also illustrate how a life course context can differentiate individual vulnerability to disintegrative social forces.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".