A Novel Approach to Understanding Social Behaviors in Pediatric Brain Tumor Survivors: A Pilot Study
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Pediatric brain tumor survivors (PBTS) are at risk of experiencing challenges in social adjustment. However, the specific social behaviors of PBTS have rarely been directly assessed. This pilot study explores the first novel use of the Autism Diagnostic Observation Schedule, second edition (ADOS-2), to evaluate the social behaviors of PBTS. METHODS: Twenty-six PBTS (ages 9-17 years; M = 7.8 years from diagnosis; 52% male; 41% received radiation treatment) completed the ADOS-2. The proportion of the sample experiencing impairment was examined descriptively across all items of the ADOS-2, as well as by a summary "overall score" created for this study, and using the ADOS-2 "diagnostic algorithm" scores for autism. Social adjustment, cognitive, medical, and demographic variables were explored as correlates of the ADOS-2 "overall score". RESULTS: Study recruitment was 34%, impeded by distance from the tertiary-care center. The percentage of PBTS experiencing detectable impairments ranged from 0% to 50% across ADOS-2 items. Cranial radiation treatment, lower IQ, and slower cognitive processing were associated with higher impairment on the ADOS-2 "overall score". CONCLUSION: The ADOS-2 can be used to assess the discrete social behaviors of PBTS. This study provides a foundation for future investigations using the ADOS-2 to assess social behaviors in this population. Identifying specific social behavior difficulties in PBTS is key to refining much needed targeted social skills interventions for this population.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".