'It doesn’t always do justice to people’: Neoliberalism’s Reorganization of Social Service Delivery in Ontario
Bibliographic record
Abstract
Guided by institutional ethnography and labour process theory, this project explores the ways in which the discourses and practices of neoliberal austerity organize the work experiences of frontline social service providers and workers' various forms of resistance to this restructuring.Managerialist practices of accreditation and evidencebased practice appear to reorient service provision away from relational, social justice oriented work and community building, redistributing workers' time and energy to administrative practices involved in assessments, evaluations, and performance measurements.These ongoing changes take a toll on worker mental wellbeing and present challenges to the sustainability of social service provision by increasing workloads and limiting workers' access to support.While these changes in work processes present some challenges in workers' relationships with management and one another, they also open up new spaces to demonstrate solidarity and to work together to resist the neoliberalization of the sector. of Quality Assurance and chair of the Research Ethics Committee at [agency name and contact information].
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.032 | 0.030 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".