‘Modernising’ Employment Standards? Administrative Efficiency and the Production of the Illegitimate Claimant in Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
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). The OBA’s changes to the ESA are an attempt to manage a crisis of employment standards (ES) enforcement, arising from decades of ineffective regulation, by entrenching an individualised enforcement model. The Act aims to streamline enforcement by screening people 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 racialised and gendered modes of exclusion in the ES enforcement process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it