“There’s some colonial in my postcolonial”: Community Development Workers’ Perspectives on Faith-based Service Learning in a Guatemalan Context
Bibliographic record
Abstract
Faith-based relief and development organization Mennonite Central Committee (MCC) has been involved in the country of Guatemala since 1976 when they responded to relief needs in light of the devastating earthquake at the time. Since then MCC has invested in a number of communities throughout Guatemala in various capacities, one of which has been the development of service and learning opportunities aimed at exposing and connecting students/participants in the global north with the people and issues within the global south. As researchers of service learning, who are also committed to a faith tradition and have participated in or have been in relationship with MCC in some capacity, we are interested in evaluating how their faith tradition has helped to both construct their practice as well as critique it. One of the aims of our research is to collaborate with MCC practitioners in assessing and examining their current practice of service/learning in Guatemala in an effort to discover ways in which they are creating opportunities for positive societal change – both in the lives of the student/ participants and the communities in Guatemala, while critiquing the traditional colonial and neocolonial approaches to development.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.049 | 0.045 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.006 | 0.012 |
| 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".