Managing Flexibility Without Security in Toronto’s Direct Funding
Bibliographic record
Abstract
This chapter examines the Direct Funding Program of Ontario's Self-Managed Attendant Services. The evident willingness of self-managers and personal attendants to engage in relational work and the still unmet labor market security of workers were both necessary for self-managers to realize the Direct Funding Program's promise of flexibility. However, within a context of insufficient funding and little to no collective backing, this program produced labor market insecurity for workers, in the form of insufficient hours, earnings, and protection. Moreover, the position of workers in the broader racialized and gendered labor market shaped their labor market choices, or lack thereof, and shaped their experience at the intimate level. Failing to address broader racialized and gendered labor market insecurity not only has implications for workers who are less able to negotiate what they do and how. It also limits the progressive potential to value all forms of intimate labor and to rethink skill.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".