Scarred for the Rest of My Career? Career-Long Effects of Abusive Leadership on Professional Athlete Aggression and Task Performance
Bibliographic record
Abstract
Based on the contention that leadership has sustained effects on followers even after the leader-follower relationship has ended, we investigated the career-long effects of abusive coach leadership on athlete aggression and task performance. Abusive leadership scores were derived from ratings by two independent raters' evaluations of coaches' biographies, and athlete aggression and task performance data were derived from objective sources. Data were obtained from players (N = 693) and coaches (N = 57) involved in the National Basketball Association (NBA) between the 2000-2001 and 2005-2006 seasons. Controlling for tenure, salary, team winning percentage, and absence due to injuries, multilevel modeling showed that exposure to abusive leadership influenced both the trajectory of psychological aggression and task performance over players' careers. These findings suggest that the effects of abusive leadership extend far longer than currently acknowledged, thus furthering our understanding of the nature and effects of abusive leadership.
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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 | 0.002 | 0.011 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".