Kids Intervention Therapy - Aquatic Environment (KITE) for babies 4 to 18 months old, by following the International Classification of Functioning (ICF): clinical trial protocol
Bibliographic record
Abstract
Introduction: the biopsychosocial (BPS) model from the perspective of the International Classification of Functioning (ICF) agrees with the current theories regarding child development. They state the interdependence between the individual's relations, environment and received stimuli. The early interventions, particularly in the aquatic environment (AE), present gaps concerning their systematization, above all in their being in accordance with the ICF. Objectives: to describe an ICF-based aquatic early intervention program, named KITE, for the neuropsychomotor development (NPMD) of typical, at-risk and/or delayed babies 4 to 18 months old. Methods: the KITE is a program systematized on the AE, centered on the family and the daycare environment; it takes place twice a week, lasting for 4 weeks, in 45- to 60-minute sessions. The assessments and interventions are systematized by following the ICF. For the main outcome on the NPMD, the Alberta Infant Motor Scale (AIMS) and the Denver Developmental Screening Test II (DDST-II) are used, and as the secondary outcome on the stimulation received, quality of life and aquatic skills, the Affordances in the Home Environment for Motor Development - Infant Scale (AHEMD-IS), the Pediatric Quality of Life Inventory (PedsQL™) and the Aquatic Functional Assessment Scale – Baby (AFAS Baby) are used, respectively. Conclusion: This study has presented tools for the application of a clinical trial through the KITE for the NPMD of babies, systematized and based on the BPS perspective of the ICF, and discussed according to the neuroplastic evidence of the child development.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".