Taking a positive approach to organizational downsizing
Bibliographic record
Abstract
Abstract We drew from the literature on positive organizational behaviour (Luthans & Youssef, 2007) to test a process model relating generalized optimism (Carver & Scheier, 1999) to the cognitions, affect, and behaviour of 237 Canadian federal government managers during and following a major organizational downsizing. Our data supported a model in which generalized optimism measured 18 months prior to the downsizing (T1) associated positively with managers' cognitions, attitudes, job performance, and self‐reported coping effectiveness measured 12 months postdownsizing (T3). Analyses suggested that some of these associations were partially mediated by a positive thinking coping strategy and expectations for future career and job success reported during the downsizing (T2). We advocate for more research that draws from the positive organizational behaviour literature to study the effects of downsizing on survivors. Copyright © 2008 ASAC. Published by John Wiley & Sons, Ltd.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".