Therapeutic Jurisprudence and Linguistic Rights: Beyond Access to Care
Bibliographic record
Abstract
Abstract Therapeutic jurisprudence is an interdisciplinary examination on the effect of the law on the mental and emotional health of those implicated in the judicial process. It concentrates primarily on the psychological impact of legal rules and procedures, as well as on the behaviour of legal players. TJ is a tool not often used in the promotion of linguistic rights. Endowed with a double mission, both normative and descriptive, TJ makes it possible to measure the impact of health incidences. In providing legal reformers with more precise tools to assess the health impacts of new linguistic rights standards TJ offers such a path of implementation of linguistic rights – not only from the formal point of view, but by keeping in mind their actual effectiveness – integrating law and languages in a way to mitigate their consequences on a population’s health.
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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 | 0.016 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.097 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".