Cognitive-Communication Disorders and Neurodisability in the Criminal Justice System: Emerging Roles, Responsibilities, and Opportunities for Speech-Language Pathologists
Bibliographic record
Abstract
Purpose: The purpose of this clinical focus article is to provide a framework for speech-language pathologists (SLPs) supporting youth and adults in the criminal justice system (CJS) who have cognitive-communication disorders (CCDs) related to neurodisability. Method: We provide an overview of communication disorders and CCDs in the CJS as well as the underlying etiologies leading to neurodisability, with a primary focus on traumatic brain injury. Additionally, we provide a framework for understanding the underlying factors that contribute to criminalization and recidivism as well as elucidate the role of SLPs in the context of the CJS. Results: SLPs have an important role to play with youth and adults in the CJS and should be routinely involved in the screening of communication disorders; in the provision of assessments, intervention, education, and training; and in advocacy roles. Conclusion: The high prevalence of CCDs in the CJS affords a unique and important role for SLPs to be active members of the interdisciplinary justice team, which, ultimately, may improve outcomes and reduce the cycle of recidivism.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".