The Impact of NGO Classes on Students Being Change Agents
Bibliographic record
Abstract
This research examines two courses, ???NGOs and Social Service Outreach??? and ???International NGO Fieldwork in Vancouver,??? offered at California State Polytechnic University, Pomona, and their impact on higher education students being change agents. An in-depth summary and overview of ???NGOs and Social Service Outreach??? is provided as this course was the foundation for students??? technical training about NGO???s. Participant observation was used to provide a summary of lectures and excursions in Vancouver and Victoria for the course, ???International NGO Fieldwork in Vancouver.??? This project analyzes qualitative data from secondary research to identify the impact each class has on student involvement and to determine students??? motivation to get involved in NGO work. The project concisely integrates theoretical literature on change agents, leadership, motivation, and study abroad. Results indicate that students felt empowered, developed personal and professional skills, increased awareness, and wanted to make a difference after taking the ???NGOs and Social Service Outreach??? course at Cal Poly Pomona. Students who participated in the ???International NGO Fieldwork in Vancouver??? program expressed increased awareness, inspiration, empowerment and motivation after this study abroad experience. Students were motivated to get involved in NGO work because they want to help others, increase equality, make a difference in their communities, solve problems and because they feel like NGO work is rewarding. The results from this research can guide faculty members and students about how acquiring technical skills and exposure to NGOs during study abroad courses can impact students on being change agents. Future programs should integrate and intensify experiential learning by including a service-learning component in the fieldwork course.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".