Cooperation between Parents and Teachers in the Early Identification of Mental Disorders and Problem Behaviour of Pupils at the Primary Level of Education
Bibliographic record
Abstract
The increase in the incidence of mental disorders and problem behaviour in students and their negative impact on their social life in the classroom and academic performance require increased attention to diagnosing various attributes of children's mental health.The first level of primary school is an ideal environment for implementing screening procedures to detect early symptoms.The aim of our contribution was to identify how to combine the views of teachers and parents on the child's behaviour in diagnosing mental health problems and behaviour disorders.Therefore, we compared and analysed the views of teachers and parents on the symptoms of mental and behavioural problems of students using the SDQ questionnaire.The results of our research confirmed the usefulness of using multiple informants in school screening and, in the context of the findings, we were able to identify ways to combine the teacher and parent perspectives in diagnosing externalizing and internalizing manifestations of sleep problems in primary school students.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".