Mental Associations Between Law and Competitiveness: a Cross-Cultural Investigation
Bibliographic record
Abstract
Previous research suggests that individuals from countries that adopt an adversarial legal system, such as Canada or United Kingdom, mentally associate "law" more strongly with concepts related to competition than concepts related to cooperation. We examined whether people from a country with a non-adversarial legal system show similar mental associations. Participants from Spain and the UK completed a Single-Category Implicit Association Test. Spanish participants mentally associated the law with competition less strongly than participants from the UK (the average D-score was significantly greater than zero in the predicted direction, t(189) = 8.16, p < .001; d=1.18). Exploratory analysis also suggested that this difference between the countries was stronger among participants who believed that the method of legal practice in their own country was more adversarial. Moreover, perceiving the legal system as adversarial predicted automatic associations between law and competition for UK but not for Spanish participants. These findings suggest that legal system plays a relevant role in shaping not only individuals' actions, but their cognitive processes.
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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 | 0.003 | 0.007 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".