On-Demand Work in the Gig Economy: The Experience of Young Immigrants in Quebec
Bibliographic record
Abstract
Changes in the labor market primarily affect young people, and new forms of work associated with the Gig economy and the “uberization” phenomenon have significant impacts on young workers, particularly young immigrants. This results in major consequences in terms of job precarity and engagement, or new forms of engagement in work and employment. The prevalence of precarious employment affects all young people, but especially young immigrants or those from immigrant families. Our aim was to analyze this employment situation which manifests itself in specific sectors like digital mobility and delivery services, which we have studied. Our theoretical framework is based on labor market segmentation, and refers to issues of precarity and access to the labor market, particularly the debate about whether precarious jobs serve as bridges to better employment or traps that do not allow access to permanent or at least regular employment. The research method is qualitative, based on 22 interviews, with 17 men and 5 women, as there is a predominance of men in these jobs. The results show that this on-demand employment situation leads to limited work engagement, as this type of job is seen not only as temporary but also unlikely to serve as a “bridge” to better employment and professional integration, resulting in some disengagement among young people who take these jobs during their studies and early attempts to enter the labor market.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".