From Paper to Practice: An Examination of How Public Perception of Disability Influences the Mobilization of Rights, Programs and Services for People with Disabilities
Bibliographic record
Abstract
Policies for Persons with Disabilities are designed with the best of intentions.They are designed not only to provide these individuals with a level of support, but also to ensure that they are seen as free, independent citizens.On paper, these designs look to be just what we need -a step in the right direction towards making the concept of disability a thing of the past.In looking at the everyday mobilization of these programs and policies, we soon see that is not the case.This is because of old attitudes that still linger around Persons with Disabilities.To make these policies work, we must first understand and deconstruct our attitudinal barriers.Upon doing so, we can then suggest new ways to understand disability in the hopes these new options will one day translate into better policies for PwD.1
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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 | 0.055 | 0.232 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.017 | 0.020 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".