Children's moral experiences of crisis management in a child mental health setting
Bibliographic record
Abstract
The experiences of children related to conflict and crisis management in child mental health settings, especially those aged 12 and below, have been rarely studied. This study examined the moral experiences of children related to conflict and crisis management and the related use of restraint and seclusion in a child mental health setting. A 5-month focused ethnography using a participatory hermeneutic framework was conducted in a day hospital programme for children with severe disruptive disorders within a mental health institute. Children considered restraints and seclusion could help them feel safe in certain instances, for example if another child was being aggressive towards them or in exceptional cases to prevent self-injury. However, their own experiences of being restrained were predominantly negative, especially if not knowing the reason for their use, which they then found unfair. Some of the children emphasized the punitive nature of the use of restraints and seclusion, and most children disagreed with these practices when used as a punishment. Children's perspectives also highlighted the limits of the use of a uniform de-escalation approach by the staff to manage crises. Children considered discussing with the staff and developing a relationship with them as more helpful in case of a crisis then the use of a de-escalation approach or coercive strategies.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| 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".