Effects of an Economic Recession on Leader Personality and General Mental Ability Scores
Bibliographic record
Abstract
Economic recessions have wide-ranging implications for the workforce. The science and practice of industrial and organizational psychology are certainly not immune to those implications. The purpose of this study was to examine the effects of an economic recession on leader personality and general mental ability scores in three samples (nTime 1=564; nTime 2=581; nTime 3=281) of US bank employees. The samples differed primarily in level of unemployment in the general US economy (Time 1=4.67%; Time 2=7.77%; Time 3=9.77%) with samples matched on five branches located in cities throughout the United States. Internal consistency reliabilities and similar variances and covariances across samples were found to be statistically indistinguishable. However, statistically significantly higher personality scale means in the Time 2 and Time 3 samples were evidenced in comparison to the Time 1 sample. Additional analyses suggested that these mean differences would result in different percentages of individuals being selected at seven of nine selection ratios. Implications, limitations, and future research are discussed.
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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 | 0.005 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".