Praxis as a Framework for Intervention: The Case of Alan
Bibliographic record
Abstract
This article presents the case of Alan, a six-year-old boy with autism spectrum condition (ASC), global developmental delay, possible attention-deficit hyperactivity disorder (ADHD), and intellectual difficulties, examined through the framework of praxis. Praxis, the ability to conceptualize, plan, and execute purposeful actions, is explored in two domains: basic core skills (Praxis I) and socio-emotional and behavioral praxis (Praxis III), while excluding advanced academic praxis (Praxis II). Alan has a history of limited gains in occupational and speech therapy but has made gradual progress in an early intervention program, particularly in problem-solving, fine motor abilities, balance, and social awareness, though communication remains a key challenge. He demonstrates difficulties with sensory processing, motor planning, and adapting to new routines, yet responds well to structure and familiar cues. Intervention strategies include sensory diets, visual supports such as PECS, role-play with picture cards and video modeling, handwriting practice, and functional math activities. Emotional regulation can be supported with Zones of Regulation visuals, fidget tools, and positive reinforcement. This article highlights the importance of individualized, flexible approaches and family-school collaboration to enhance Alan’s developmental progress and daily functioning.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".