Downsizing in the public sector: Metro‐Toronto's hospitals
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 study has two objectives. First, to predict the outcomes of a public sector downsizing; second to measure effects of downsizing at organizational and inter-organizational levels. Primary data to assess the organizational level effects was collected through interviews with senior executives at two of Metro-Toronto's hospitals. Secondary data, to assess the inter-organizational effects, was collected from government documents and media reports. Due to the exploratory nature of the study's objectives a case study method was employed. Most institutional downsizing practices aligned with successful outcomes. Procedures involved at the inter-organizational level aligned with unsuccessful outcomes and negated organizational initiatives. This resulted in an overall alignment with unsuccessful procedures. The implication, based on private sector downsizings, is that the post-downsized hospital system was more costly and less effective.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it