HEALTH CARE ACCESSIBILITY FOR INDIVIDUALS WITH DISABILITIES: BARRIERS AND RISK FACTORS IMPACTING CARE
Bibliographic record
Abstract
BACKGROUND
 Healthcare professionals have certain professional, legal, and ethical obligations that they must fulfill with each patient interaction. Though professional and legal obligations may vary between fields of practice, the core ethical responsibility remains the same: provide just health care1. This requires that healthcare professionals are aware of systemic and institutional factors that lead to disparity and discrimination in the provision of health services1. Disability is a complex construct that can be related to various factors related to health condition as well as social and environmental factors that influence participation. This complexity results in varying definitions; the ICF model of disability was used in this research2.
 Abstract PDF Link:https://jps.library.utoronto.ca/index.php/cpoj/article/view/32046/24460
 How to cite: Senczyszyn A, Duncan J.C. HEALTH CARE ACCESSIBILITY FOR INDIVIDUALS WITH DISABILITIES: BARRIERS AND RISK FACTORS IMPACTING CARE. CANADIAN PROSTHETICS & ORTHOTICS JOURNAL, VOLUME 1, ISSUE 2, 2018; ABSTRACT, POSTER PRESENTATION AT THE AOPA’S 101ST NATIONAL ASSEMBLY, SEPT. 26-29, VANCOUVER, CANADA, 2018. DOI: https://doi.org/10.33137/cpoj.v1i2.32046 
 Abstracts were Peer-reviewed by the American Orthotic Prosthetic Association (AOPA) 101st National Assembly Scientific Committee. 
 http://www.aopanet.org/
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".