Bibliographic record
Abstract
Abstract This article is a critical analysis of a fundamental judicial ethic, the appearance of impartiality, an increasingly important public issue that is poorly understood and woefully underexamined in jurisprudence and academic literature. The ethic is pivotal to the determination of judicial disqualification, a/k/a recusal, and the public's fragile trust in the rule of law. The article explains how a mysterious metaphorical device, the “reasonable observer” (a descendant of the common law's “reasonable man”) has been subjectively applied in a confusing and inconsistent manner in judicial disqualification cases. The unexamined approach has unwittingly undermined the plain text and the mandatory ethical obligation of recusal (i.e., a judge must disqualify when his or her impartiality might reasonably be questioned). The discussion: (a) analyzes the theoretical underpinnings of the reasonable person-observer analytical tool (“heuristic”); (b) explains how American jurisprudence has glibly transmogrified the appearance-recusal precept; (c) provides a unique and starkly contrasting analytical perspective demonstrating how select common law-based jurisdictions (Australia, Canada, Singapore, South Africa, United Kingdom) have painstakingly examined and applied the widely-recognized norm of appearance-based impartiality; and (d) synthesizes the preceding theoretical and jurisprudential information to support a proposal for a recalibrated metric and a pragmatic, clarifying heuristic. The article concludes with a model provision, in the form of a guiding “commentary,” that summarizes the essential aspects of the appearance of bias precept. The article provides an interpretative approach that attempts to be faithful to the letter and spirit of the foundational judicial ethic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".