Developments and Regressions in Rule Use: The Case of Zinedine Zidane
Bibliographic record
Abstract
Abstract Zinedine Zidane's “head-butt” of the Italian defender Marco Materazzi in the championship game of the 2006 World Cup provides the context for asking why people make clearly detrimental decisions, even in contexts in which they are experienced and expert. Werner's developmental notion of regression is an essential component of a developmental framework that can be used to understand Zidane's impulsive behavior, as even well-ingrained rules can be overwhelmed by lower developmental behaviors in certain circumstances. In this context, the notion of the development of rule learning and use is more nuanced than the simple attainment of the understanding or even the ability to of a rule in certain situations, but entails the adaptability to flexibly implement the optimal choice of rules in particularly challenging and stressful situations, such as the World Cup final.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".