The Future of Disability Research in Australia: Protocol for a Multiphase Research Agenda–Setting Study
Bibliographic record
Abstract
BACKGROUND: For people with disabilities to live a good life, it is essential that funded research in health and social care addresses their interests, meets their needs, and fills gaps in our understanding of the impact that services, systems, and policies may have on them. Decisions about research funding should be based on an understanding of the research priorities of people with disabilities, their supporters and allies, disability researchers, service providers, and policy makers working in the field. OBJECTIVE: The aim of this protocol is to describe the research design and methods of a large-scale, disability research agenda-setting exercise conducted in 2021 in Australia. METHODS: The research agenda-setting exercise involves 3 integrated phases of work. In the first phase, a previous audit of disability research in Australia is updated to understand previous research and continuing gaps in the research. Building on this, the second phase involves consultation with stakeholders-people with disabilities and their supporters and family members, the disability workforce, and people working within services and connected sectors (eg, aging, employment, education, and housing), academia, and public policy. Data for the second phase will be gathered as follows: a national web-based survey; a consultation process undertaken through the government and nongovernment sector; and targeted consultation with Aboriginal and Torres Strait Islander people, children with disabilities and their families, people with cognitive disability, and people with complex communication needs. The third phase involves a web-based survey to develop a research agenda based on the outcomes of all phases. RESULTS: We have started working on 2 parts of the research prioritization exercise. Through the research-mapping exercise we identified 1241 journal articles and book chapters (referred to as research papers) and 225 publicly available reports (referred to as research reports) produced over the 2018-2020 period. Data collection for the national survey has also been completed. We received 973 fully completed responses to the survey. Analysis of these data is currently underway. CONCLUSIONS: This multi-method research agenda-setting study will be the first to provide an indication of the areas of health and social research that people across the Australian disability community consider should be prioritized in disability research funding decisions. Project results from all phases will be made publicly available through reports, open-access journal publications, and Easy Read documents. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/31126.
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 | 0.080 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".