Applying intersectionality in vision impairment research: A scoping review
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
There are calls for better application of theory in health research. Applying intersectionality theory in vision impairment research is critical because it affords an in-depth understanding of social issues, including their causes. Explicit application of intersectionality theory can further enhance research and practice in vision impairment; yet, there is a paucity of research on how intersectionality theory is applied and the degree to which it can guide vision impairment research. The purpose of this scoping review was to understand how intersectionality theory has been applied within vision impairment research and how it can be used to guide further vision impairment research development. A scoping review was conducted to examine and summarize the extent, range, and nature of the application of intersectionality theory within vision impairment research. Four electronic databases were searched from inception in April 2023, resulting in 1632 unique records. Inclusion/exclusion criteria were applied, resulting in 19 articles being identified for further analysis. The application of intersectionality theory in vision impairment research was seen most frequently among authors in the field of anthropology and human and movement science. The way in which intersectionality theory was taken up in vision impairment research is described using three overarching themes including: (1) as a lens for the interpretation of findings; (2) as a general conceptual framework for the article; and (3) as a tool for data analysis.
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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it