Beyond the Tag: A Parent Training Experience in the Healthcare Field
Bibliographic record
Abstract
Behavioral difficulties related to internalizing neurodevelopmental disorders represent one of the main areas of work in clinical practice within pediatric services (Steiner & Remsing, 2007). From 2013 to 2023, there has been an increase in triage visits for behavioral difficulties in the ASL TO3, from 6 to 40 cases per year. Data from the company database show increasing diagnosis of Oppositional Defiant Disorder-ODD, Attention Deficit Hyperactivity Disorder-ADHD, and Conduct Disorder-CD in recent years. Therefore, the Pediatric Psychology SSC Service of TO3 decided to work indirectly on the management of dysfunctional behaviors and emotional self-regulation of children aged 3 to 11 years, by activating Parent Training groups oriented to ACT for parents of children who come to triage with symptoms that suggest the presence of ADHD, ODD, or CD, or having a diagnosis themselves. The goal of the intervention was to reduce parental stress, frustration and feeling of loneliness, hyperactivity and compositionality of the children involved, as well as internalizing difficulties and increasing caregiver awareness of possible appropriate educational strategies. The activation of the Parent Training pilot project within an outpatient pathway of the National Health Service has allowed a wide range of the population to be reached, optimizing resources and time to meet the parents’ needs. The results obtained before and after the Parent Training intervention prove its effectiveness.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".