Students in Name Only: Improving the Working Conditions of Articled Students Via the Application of the BC Employment Standards Act
Bibliographic record
Abstract
Articled students in Canada tend to be exempt from provincial employment standards legislation, which govern minimum hourly wages and overtime and statutory holiday pay rates. Exemption from these provisions, along with the strong power dynamic present in the articled student-principal relationship, has fostered exploitative working conditions for articled students. To justify the exclusion of articled students from employment standards legislation, supporters of the status quo have propagated the narrative that articled students’ labour is not that of an employee, despite evidence to the contrary. In recent years, advocates have proposed various reforms to improve the working conditions of articled students, but they have not targeted employment standards legislation itself. With a focus on British Columbia, this article argues that a better solution to improve the working conditions of articled students is to apply the base provisions of the Employment Standards Act. Further, on closer examination, assertions that such an approach is contrary to the public interest are more rhetorical than substantive.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".