Working Conditions, Worker Rights, and Managerial Domination During the COVID-19 Pandemic: Assessing Their Toll on Precariously Employed Workers and Family Well-Being
Bibliographic record
Abstract
Precarious Employment (PE) is characterized by job, income, and benefit insecurities. Studies surrounding PE and well-being have been predominantly quantitative, leaving a gap in rich descriptions of employment experiences. We recruited a sample of 40 adults aged 25-55 who were involved in PE during the beginning of the COVID-19 pandemic or lost employment due to the pandemic. Semi-structured interviews were administered. Employment and income insecurities were common and had negative impacts on the well-being of participants and their families. Uncertainty about future employment prospects and job and income loss resulted in chronic distress. Other insecurities-access to benefits, violation of worker rights, worker safety-was also reported as impacting well-being. The COVID-19 pandemic deepened insecurities, hardships, and distress among workers with PE conditions. Given the myriad insecurities experienced by those engaged in PE, the focus of precarious work research should also include working conditions, violation of worker rights, and managerial domination.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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 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".