A Longitudinal Examination of the Relations Between Moral Disengagement and Antisocial Behavior in Sport
Bibliographic record
Abstract
Moral disengagement (MD) has been positively associated with antisocial behavior (AB) in sport. However, the longitudinal associations between MD and AB are unexamined to date. Adopting a three-wave cross-lagged panel design, the authors examined the reciprocal relations between MD and two forms of AB (i.e., toward opponents and teammates) across a competitive season with a sample of 407 team-sport athletes (Mage = 15.7 years) from Canada. Using structural equation modeling, the authors found strong positive autoregressive effects for MD and both forms of AB across both time periods. They also identified strong positive synchronous correlations between MD and both types of AB at each time point. Finally, cross-lagged effects were only found between MD and AB toward opponents; effects from MD to AB toward opponents were stronger than the reciprocal effects. These findings contribute important knowledge on the regulation of AB in sport.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".