‘Modernising’ Employment Standards? Administrative Efficiency and the Production of the Illegitimate Claimant
Bibliographic record
Abstract
In October 2010, the provincial government of Ontario, Canada enacted the Open for Business Act (OBA).A central component of the OBA is its provisions aiming to streamline the enforcement of Ontario's Employment Standards Act (ESA).Our central argument is that the OBA's changes to the ESA are an attempt by the provincial government to manage a crisis of employment standards (ES) enforcement, which has grown out of a decades-long legacy of ineffective ES regulation, by entrenching an individualized enforcement model.Moreover, the Act aims to streamline enforcement by screening those who are assumed to be lacking definitive proof of violations out of the complaints process.The OBA therefore produces a new category of 'illegitimate claimants' and attributes administrative backlogs to these people.Instead of improving the protection of workers, the OBA embeds new racialized and gendered modes of exclusion in the ES enforcement process.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".