Bibliographic record
Abstract
Abstract Competency to stand trial is a long-established legal principle in the U.S. criminal justice system that ensures that a criminal defendant’s right to a fair trial is protected. Fundamental justice requires that criminal defendants should be able to understand the charges against them, appreciate the nature and range of penalties, and communicate with their attorney. If they do not have the capacity in any of these areas, they may be found incompetent to proceed and the judicial proceedings are suspended until they are treated and competency is restored. While competency to stand trial is the most commonly used term, competency in the criminal trial process encompasses all stages of participation in the legal process, including pretrial, trial, sentencing, and appeals. It is also a consideration if a defendant chooses to represent him or herself. Indeed, the term itself is misleading because few defendants actually go to trial, as the vast majority of cases are resolved through plea bargaining. The competency issue is raised when an officer of the court (defense, prosecution, or judge) has reason to believe there is a bona fide doubt as to a defendant’s competence. Once raised, defendants are typically referred for an evaluation by a mental health professional. Legal precedence has established that the basis of a finding of incompetency must be the presence of a major mental illness or substantial cognitive deficit. However, the mere presence of either of these conditions is not sufficient, as a functional approach to assessing competency dictates that the mental illness or cognitive deficit must be shown to affect the defendant’s specific legal competencies. It is entirely possible, for example, that some defendants with a psychosis or other severe mental illness may nevertheless be able to proceed with their case if the mental illness does not impair the legal abilities necessary to go forward.
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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".