Enhancing social connectedness: How adults with vision impairment perceive and use social media in Nigeria
Bibliographic record
Abstract
As the number of social media users continues to increase globally, it is important to explore the experiences of different segments of users. While research on social media use by people with vision impairment is growing, lacking is research in this area in Nigeria. This qualitative study describes the lived experiences and perceptions of social media use among Nigerian adults with vision impairment, using a transcendental approach. Findings showed that people with vision impairment experienced a reduction in social connectedness due to their vision impairment, but those who used social media were able to enhance social connectedness, increase social interaction, develop social relationships and expand their social networks. Participants described social media as a good medium for learning and education as it enabled ready access to information. Results indicated that supporting adults with vision impairment experiencing reduced social connectedness to engage with social media could help improve their social well-being.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".