Perceptions of the Role of Short-Term Volunteerism in International Development: Views from Volunteers, Local Hosts, and Community Members
Bibliographic record
Abstract
Background. Short-term international volunteer trips traditionally involve volunteers from high-income countries travelling to low- and middle-income countries to assist in service-related development activities. Their duration typically ranges from 7 to 90 days. The city of La Romana, Dominican Republic, receives hundreds of short-term international volunteers annually. They participate in activities aimed at improving conditions faced by a marginalized ethnic-Haitian community living in bateyes. Methods. This qualitative analysis examined perceptions of short-term international volunteerism, held by three key stakeholder groups in La Romana: local hosts, international volunteers, and community members. Responses from semistructured interviews were recorded and analysed by thematic analysis. Results. Themes from the 3 groups were broadly categorized into general perceptions of short-term volunteerism and proposed best practices. These were further subdivided into perceptions of value, harms, and motivations associated with volunteer teams for the former and best practices around volunteer composition and selection, partnership, and skill sets and predeparture training for the latter. Conclusion. Notable challenges were associated with short-term volunteering, including an overemphasis on the material benefits from volunteer groups expressed by community member respondents; misalignment of the desired and actual skill sets of volunteers; duplicate and uncoordinated volunteer efforts; and the perpetuation of stereotypes suggesting that international volunteers possess superior knowledge or skills. Addressing these challenges is critical to optimizing the conduct of short-term volunteerism.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".