Self-determined Occupational Performance Model for Children From Economically Disadvantaged Backgrounds
Bibliographic record
Abstract
Background. Children from low-income backgrounds have a higher incidence of handwriting challenges due to the unique social and environmental stressors associated with poverty. Additionally, children from economically disadvantaged households are at risk for motor, cognitive, and social deficits, which further impact their handwriting performance. Purpose. The purpose of this paper is to propose a theoretical model that provides a holistic perspective for addressing the handwriting needs of children from low-socioeconomic backgrounds. Key Issues. The presented conceptual model is derived from the person–environment–occupation model for occupational performance and self-determination theory. These theories reciprocally complement and enhance each other, providing a foundation from which clinicians can guide evaluation and intervention. Implications. Through the use of the proposed model, evaluation and intervention focus on intrinsic motivation while considering the physical, social, and cultural impacts on a child's occupational performance. The provider connects with the child's basic psychological needs, thus improving handwriting outcomes and facilitating improved academic performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".