Challenges in and recommendations for working with international students with first-episode psychosis: a descriptive case series
Bibliographic record
Abstract
Purpose The purpose of this paper is to present a series of cases of international students being treated in a specialized early intervention service for first-episode psychosis (FEP), describing the particular challenges that arise in this process, and to provide recommendations addressing these challenges. Design/methodology/approach Two researchers independently reviewed the charts of seven international students and discussed them with their treating clinicians. Recurring themes were identified through an iterative process of discussion and consensus. Findings Four themes were identified which demonstrated specific challenges faced by international students being treated for FEP: difficulty maintaining student visa status, limited social and family support, financial and health insurance issues, and service disengagement. Originality/value The study suggests that international students with FEP may present with numerous and unique challenges, thereby requiring special attention in their treatment. Although these are preliminary findings based on a small case series, the findings can inform recommendations for mental health services in cities with a sizeable international student population and guide future research on this topic.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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 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".