Framework for successful school reintegration after psychiatric hospitalization: A systematic synthesis of expert recommendations
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
Abstract This systematic synthesis aimed to identify and synthesize expert recommendations from best available clinical and scientific literature for successful school reintegration of students after psychiatric hospitalization. Following principles outlined by the Evidence for Policy and Practice Information and Coordinating Centre (EPPI‐Centre), we searched 15 electronic databases with all possible literature from 1985 to May 2019 and conducted both supplementary retrospective and prospective reference searches. Fifty‐three documents (37 scientific and 16 clinical) met the inclusion criteria. A thematic synthesis of identified recommendations led to the development and definition of a nine‐step framework to guide collaboration between school and mental health practitioners. This innovative framework offers clear, structured and consensus‐based prescriptive guidelines to determine what should be done, for whom, by whom, when, and how, to facilitate the school reintegration of students hospitalized for mental health issues. Additional studies are necessary to evaluate the implementation and effectiveness of this step‐based framework.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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