The Lawfulness-Lawlessness Continuum: Interpersonal Dynamics in Conflict Resolution Processes
Bibliographic record
Abstract
The ways in which citizens behave, interact, and plan for the future have cumulative significance for the nature and future of society.This project proposes an analytical device (the lawfulness and lawlessness continuum) to describe the types of behaviours and decision-making that individuals use when participating in adjudication, mediation, and other conflict resolution processes.Lawfulness is a dynamic that is cyclical, orderly, and restrained.I suggest that it can be used to analyze the types of interactions between citizens that are associated with law and adjudication.Lawlessness is a dynamic that is emergent, adaptive, and responsive; it may manifest more often in moments between individuals who are using mediation to resolve their conflicts.Interactions between citizens are likely to involve a combination of lawfulness and lawlessness, along the continuum that lies between them.This analytical model offers a lens through which these nuances of citizen interactions can be analyzed.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".