Être chauffeur Uber : les enjeux de santé d’une organisation du travail atomisante et paradoxante
Bibliographic record
Abstract
Appuyé sur l’analyse des pratiques de travailleurs Uber du Québec, cet article propose de cerner les enjeux de santé soulevés par l’organisation du travail sur la plateforme. Les résultats pointent vers des problèmes de dépendance à l’activité, de désocialisation et de solitude, et montrent en quoi la plateformisation du travail contribue à détourner le sens du et au travail, en faisant passer le collectif pour une menace plutôt qu’une ressource. Autant de situations menaçantes pour la santé, d’autant plus pernicieuses que le système paradoxant de Uber rend difficile la mise à jour des contradictions qui en sont la source.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".