Bibliographic record
Abstract
Abstract Conventional wisdom about civil litigation, both among scholars and political actors, holds that abuse of the legal process is common, that there is too much litigation, that it is “all about the money”, and that “a bad settlement is better than a good trial”. This constellation of attitudes that emphasize the economic function of law suggests that courts are an expensive conflict resolution mechanism of last resort and that their use would be minimized in a healthy market-based democracy. In this paper we apply a new sociological framework to understand the meaning and function of civil litigation in a democratic society. We focus in particular on the democratic function of the informational characteristics of litigation that require substantial disclosure and engagement between plaintiff, defendant and third parties. Instead we examine the role courts play in the maintenance and attainment of a social information order – norms and legal rules governing the sharing and withholding of information that depend on and constitute particular status relationships between actors (Ryan 2006). Using interviews and surveys of family members of victims of 9/11 we develop a theory of the lived experience of entitlement to information in Anglo-American legal settings with suggestions of how these ideas might translate to civil law systems.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.037 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".