O RACIOCÍNIO DA TERAPIA OCUPACIONAL COMO BASE PARA A OFERTA DAS ADAPTAÇÕES RAZOÁVEIS: ARTICULAÇÃO ENTRE LEI BRASILEIRA DE INCLUSÃO, NEUROCIÊNCIAS E OCUPAÇÕES ESCOLARES
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Brazil, Inclusive Education has been consolidated through the Brazilian Law for the Inclusion of Persons with Disabilities (Lei Brasileira de Inclusão - LBI). In parallel, advances in Neurosciences have brought new perspectives for understanding learning. Occupational Therapy is situated within this context, using an occupation-centered approach to analyze barriers and propose interventions. This study aims to describe the clinical reasoning of Occupational Therapy practice in the school context, articulating its principles with inclusion legislation and the foundations of Neurosciences. To this end, a qualitative and descriptive experience report was conducted in a private school with a 7th-grade middle school student diagnosed with Autism Spectrum Disorder (ASD). The Collaborative Consultation model was employed, involving the occupational therapist and the school team, along with the Canadian Occupational Performance Measure (COPM) to identify impaired school occupations, and the SMART model for goal setting. The reasoning process integrated occupational analysis and neuroscientific interpretation of performance to support reasonable accommodations. Thus, the results demonstrate the effectiveness of articulating Occupational Therapy reasoning, inclusion legislation, and Neuroscience knowledge in the development of Reasonable Accommodations. It can be concluded that an interdisciplinary approach was essential to promote the student’s school participation by transforming the environment and activities to meet specific functional needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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 it