Nursing staff survivor responses to hospital restructuring and downsizing
Bibliographic record
Abstract
Abstract This study examines correlates of four archetypal survivor responses to organizational restructuring and downsizing proposed by Mishra and Spreitzer:1 hopeful, obliging, cynical and fearful. Data were collected from 744 long‐term nursing staff survivors of hospital restructuring and downsizing using questionnaires. Four types of correlates were considered: personal and work situation characteristics, restructuring‐related work experiences (support, stressors, processes), work outcomes and indicators of psychological well‐being, and perceptions of hospital functioning. Personal and work situation characteristics showed few relationships with the four restructuring responses. Hospital support and positive restructuring processes were associated with lower cynical and fearful responses and higher hopeful responses. Restructuring stressors were associated with higher cynical and fearful responses. Greater endorsement of cynical and fearful restructuring responses was associated with more negative work outcomes and lower psychological well‐being. Greater endorsement of both cynical and fearful responses was also found to be associated with more negative perceptions of hospital functioning and effectiveness. Copyright © 2001 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".