When Good Intentions Backfire: University Research Ethics Review and the Intimate Lives of People Labeled with Intellectual Disabilities
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
We critically discuss how practices of ethical governance through university research ethics committees can contribute to the silencing of people labeled with intellectual disabilities through the reproduction of discourses of vulnerability and protectionism. In addition, disabling assumptions of (in)ability and reductive bio-medical understandings of labeled people as a homogeneous group can create concern that such research is "too risky," and perhaps not valuable enough to outweigh potential risks. Combined, these practices deem people "too vulnerable" or "too naïve," and thus, unable to make decisions for themselves about participating in research without putting themselves and the researcher(s) at risk. In this article, we draw on insights gained from our experiences undergoing ethics review for projects focused on the personal and intimate lives of people with intellectual disabilities. We proffer that such ethical governance, though well-intentioned (i.e., to protect participants and researchers), limits not only possibilities for research that would otherwise prioritize the perspectives and agency of people with intellectual disabilities but also how researchers are "allowed" to engage with them in research.
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 | 0.017 | 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 | 0.038 | 0.103 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.006 | 0.002 |
| 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 it