Dependency and Hardship in the Gig Economy: The Mental Health Consequences of Platform Work
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors investigate the relationship between platform work engagement and worker mental health on the basis of two nationally representative samples of Canadian workers. Integrating insights from the job demands–resources model and Schor’s idea of “platform dependence,” the authors examine whether a dependent attachment to the platform economy is associated with poorer mental health. Multivariate analyses reveal that dependent platform workers report higher levels of psychological distress than secondary platform workers, wage workers, and the traditional self-employed. In contrast to work conditions, which contribute little to these distress patterns, financial strain explains approximately 50 percent of dependent platform workers’ higher distress. Contingency analyses reveal that financial strain also exacerbates the mental health penalties associated with dependent platform work. These findings support a “dependent-precarity” perspective of platform work stress, raising questions about the future health challenges posed by platform work in a postpandemic economy.
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.
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 | 0.012 | 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 | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it