Austerity, Competitiveness and Neoliberalism Redux: Ontario Responds to the Great Recession
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
This article examines the deepening integration of market imperatives throughout the province of Ontario. We do this by, first, examining neoliberalism’s theoretical underpinnings, second, reviewing Ontario’s historical context, and third, scrutinizing the Open Ontario Plan, with a focus on proposed changes to employment standards legislation. We argue that contrary to claims of shared restraint and the pressing need for public austerity, Premier McGuinty’s Liberal’s have re-branded and re-packaged core neoliberal policies in such a manner that costs are socialized and profits privatized, thereby intensifying class polarization along with its racialized and gendered diversities. Cet article analyse l’intégration de plus en plus profonde des impératifs du marché dans la province de l’Ontario. Nous faisons cette analyse, premièrement, en analysant les bases théoriques du néolibéralisme, deuxièmement, en décrivant le contexte historique de l’Ontario, et troisièmement, en examinant le “Open Ontario Plan”, sous l’angle particulier des propositions de changement de la législation sur le droit du travail. Nous soutenons que sous le couvert de discours prônant le partage de l’austérité et l’impérieuse nécessité de restreindre les dépenses publiques, les Libéraux du Premier McGuinty ont ré-étiqueté et reformulé les politiques néolibérales de façon que les coûts soient socialisés et les profits privatisés, aggravant ainsi la polarisation des classes ainsi que les inégalités liées à la race et au genre.
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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 | 0.002 | 0.002 |
| 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