From Pandemicto Progression: Framework for Virtual Mental Healthcare for Children & Youth in Response toCOVID-19
Bibliographic record
Abstract
COVID-19 has necessitated child/youth mental health providers virtually delivering services to patients' homes In contrast, traditional telepsychiatry is delivered to patients in medically and technologically optimized environments such as primary-care centres or emergency departments The shift to direct to patient virtual mental healthcare is occurring quickly with scant guidance available for clinicians on how to address unique considerations for the virtual care of children and youth as they rapidly shift their practices away from in-person care Therefore, we bridge this gap by discussing a six-pillar framework for delivering child and youth virtual mental healthcare that was necessitated by the COVID-19 pandemic We also offer a discussion of the advantages, disadvantages, and future implications of such services as they are likely to continue even following the cessation of the COVID-19 pandemic
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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 | 0.026 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.014 | 0.027 |
| Scholarly communication | 0.021 | 0.019 |
| Open science | 0.007 | 0.028 |
| Research integrity | 0.013 | 0.017 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".