Realizing life goals: Lived experience of young and middle-age adults with adult-onset vision impairment in Nigeria
Bibliographic record
Abstract
This study explored the life goals implications of adult-onset vision impairment among young and middle-aged adults living in Nigeria. Using a qualitative descriptive design approach, Eight young and middle-aged adults with adult-onset vision impairment were recruited for the study. Data were gathered using semi-structured individual interviews which focused on discussing life goals (i.e., educational, employment, and social goals) and barriers to goals achievement. Three overlapping themes that reflect participants’ accounts were identified, namely, (1) relationship-related challenges, (2) crumbled education and employment pursuits, and (3) strategies to achieve goals and feeling hopeful. Findings indicate that adult-onset vision impairment can interfere with educational, employment, and relationship goals of young and middle-aged adults living in Nigeria. This study suggests that vision rehabilitation intervention can be optimized by incorporating targeted supports and interventions around achieving an individual’s life goals in the rehabilitative management plan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".