Undergraduate Disabled Students as Knowledge Producers Including Researchers: Perspectives of Disabled Students
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
Knowledge influences policy development and policies impact disabled people. Scientific and technological advancements, including neuro-advancements and their governance, have social implications for disabled people. However, knowledge is missing on this topic. Although efforts are underway to increase the number of disabled academics, the numbers remain low. Engaging undergraduate disabled students in knowledge production, especially research, could decrease the knowledge deficit and increase the pool of disabled students considering an academic career. We performed 10 semi-structured interviews of disabled students to understand the reality of undergraduate disabled students as knowledge producers, including researchers. Using a directed thematic content analysis, we found that participants felt that undergraduate disabled students were insufficiently exposed to and supported in the identity of being knowledge producers including researchers. Participants identified ethical, legal, and social implications of science and technology and argued that undergraduate disabled students and disabled people have a role to play in the discussions of these. Exposing disabled students at the undergraduate and high school level to knowledge production including researcher identity could increase the numbers of undergraduate disabled researchers, disabled academics, and disabled students doing research in the community after graduation and decrease the knowledge gaps around the social situation of disabled people.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it