Living with stigma: Voices from the Cured Lepers’ village in Ghana
Bibliographic record
Abstract
Stigmatization of persons cured of leprosy (PCLs) is a long standing social problem especially in the developing world, which often leads to their isolation from mainstream society. This study presents the voices of PCLs in the Cured Lepers' Village in Ho, a community located in Southern Ghana. The study collected data through in-depth interviews and focus group discussions with 20 participants. Findings indicate that PCLs continue to live a significant number of years in the Cured Lepers' Village after they are cured of leprosy. This situation is due to several factors such as stigma (including self-stigma), isolation, and neglect. Fear of the disease and compliance with religious and sociocultural beliefs, and regulations regarding leprosy were identified as reasons for the isolation of people affected by the disease. The study recommends a comprehensive public education program on leprosy targeting community leaders to help re-integrate PCLs into their communities and calls for social workers to be part of this process.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".