"Whose Needs are Being Served?" Quantitative Metrics and the Reshaping of Social Services
Bibliographic record
Abstract
Donna Baines's article Whose Needs are Being Served? Critiquing Quantitative Evaluation Tools in Social Services Delivery examines the role and impact of New Public Management forms of quantitative accountability schemes in transforming the nature of social service care work and service delivery in Canada. This study uses a large qualitative interview sample of front-line social service workers and a smaller sample of managers, supervisors, policymakers, and advocates to gather information on how these new accountability measures are changing the labour process and the services delivered by service care workers. In so doing, Baines also maps out how these workers have developed resistance strategies designed to undermine such neoliberal management schemes. In this regard, there is a dialect built into the paper that considers both restructuring and resistance in a holistic way.
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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 | 0.100 | 0.147 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.007 | 0.043 |
| Scholarly communication | 0.016 | 0.026 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| 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 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".