Social participation of individuals with spinal injury using wheelchairs in rural Tanzania after peer training and entrepreneurial skills training
Bibliographic record
Abstract
Background: Individuals with spinal cord injury (SCI) in less-resourced settings reported barriers to community integration, including inaccessible rehabilitation services, restricted environments and limited social integration. Peer training and entrepreneurial skills training are provided by Motivation, a nonprofit organisation, and Moshi Cooperative University to enhance occupational engagement of individuals with SCI in less-resourced settings. Objective: This study aimed to explore the impact of peer training and entrepreneurial skills training on the social participation of individuals with SCI living in Tanzania. Method: Using a qualitative photovoice approach, 10 participants captured meaningful photos and provided captions according to five standardised questions (PHOTO technique) to convey their messages. Participants selected up to 34 photos that best illustrated their experiences in the community. A mixed inductive–deductive thematic analysis was guided by the International Classification of Functioning, Disability and Health. Results: Two interrelated themes emerged: (1) ‘influencing factors’, which revealed how participants’ inclusion in the community was influenced by their activities and personal and environmental factors and (2) ‘empowerment’, which highlighted participants’ desire to advocate and promote awareness of needs and hopes. Conclusion: Participants emphasised the importance of accessibility and equal opportunities. Whilst some were able to overcome obstacles, others experienced continued inaccessibility that inhibited meaningful occupations. Daily participation challenges of individuals with SCI in rural Tanzania were highlighted. Although the Motivation programmes were perceived to have powerful impacts on social participation, continued efforts and advocacy are needed to overcome accessibility issues and to meet the physical, psychological and social needs of Tanzanians living with SCI. Contribution: This article highlights the importance of accessibility and equal opportunities for individuals with disability living in rural Tanzania. Peer-training and entrepreneurial programs offer community-based rehabilitation services that were perceived by people with disabilities to have a powerful impact on social participation and vocation. However, continued efforts and advocacy are needed to meet the needs of Tanzanians living with spinal cord injury.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".