Performance Measures for Early Psychosis Treatment Services
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
OBJECTIVE: This study examined the feasibility of identifying performance measures for early psychosis treatment services and obtaining consensus for these measures. The requirements of the study were that the processes used to identify measures and gain consensus should be comprehensive, be reproducible, and reflect the perspective of multiple stakeholders in Canada. METHODS: The study was conducted in two stages. First a literature review was performed to gather articles published from 1995 to July 2002, and experts were consulted to determine performance measures. Second, a consensus-building technique, the Delphi process, was used with nominated participants from seven groups of stakeholders. Twenty stakeholders participated in three rounds of questionnaires. The degree of consensus achieved by the Delphi process was assessed by calculating the semi-interquartile range for each measure. RESULTS: Seventy-three performance measures were identified from the literature review and consultation with experts. The Delphi method reduced the list to 24 measures rated as essential. This approach proved to be both feasible and cost-effective. CONCLUSIONS: Despite the diversity in the backgrounds of the stakeholder groups, the Delphi technique was effective in moving participants' ratings toward consensus through successive questionnaire rounds. The resulting measures reflected the interests of all stakeholders.
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 | 0.000 | 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