Drivers Vs Uber – The limits of the Judicialization: Critical review of London’s employment tribunal verdict in the case of Aaslam Y. & Farrar J. against Uber
Bibliographic record
Abstract
Ce commentaire propose une analyse critique d’un jugement rendu en octobre 2016 par les tribunaux d’emplois de Londres, en vertu duquel les chauffeurs d’Uber seraient des travailleurs ayant droit au salaire minimum. Il soutient que le statut des travailleurs, tel qu’envisagé par la cour, reflète les relations d’emplois précaires et ne confère pas suffisamment de protection et d’autonomie aux chauffeurs. Par ailleurs, nous examinons de façon critique la capacité de la cour à se saisir de la transformation sociale qu’amènent des entreprises comme Uber.
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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 | 0.043 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.018 | 0.052 |
| Scholarly communication | 0.021 | 0.012 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.018 | 0.015 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".