Impact of Restructuring Scale: <i>An Instrument to Measure Effects of Hospital Restructuring</i>
Bibliographic record
Abstract
As restructuring and downsizing occur throughout the workplace, many individuals are either losing their jobs or experiencing job insecurity. The study of downsizing is particularly important within the healthcare system where hospital mergers and closings, and severe cutbacks, have dramatically reduced healthcare services. Since nurses are the largest group employed by hospitals, they are the most likely to be affected by recent cutbacks. All this leads to the conclusion that a measure of the impact of restructuring is needed. This study reports on the Impact of Restructuring Scale--a new scale containing acceptable psychometric properties--that quantifies the effects of restructuring on organizations and individuals. The scale was applied to a sample of 1,363 nurses employed in hospitals undergoing restructuring and downsizing. The nurses returned a self-report questionnaire in which they reported their reactions to hospital restructuring and to specific job stressors.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".