The Short-Term Assessment of Risk and Treatability (START)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new assessment scheme--the Short-Term Assessment of Risk and Treatability (START)--presents a workable method for assessing risks to self and others encountered in mentally and personality disordered clients. This study aimed to demonstrate (a) prevalence and severity of risk behaviors measured by the START, (b) psychometric properties of START, (c) similarities and differences in START scores across different mental health professionals, and (d) concurrent validity of START with diverse negative outcomes. Treatment team members completed the 20-item, dynamically focused START for 137 forensic psychiatric inpatients. Prevalence and severity of START risk domains were measured for 51 patients detained in the hospital for 1 year. Results revealed high rates of generally low-level adverse events. With some exceptions, START scores were meaningfully associated with outcomes measured by a modified Overt Aggression Scale.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it