Nursing staff survivor responses to hospital restructuring and downsizing
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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