Water works: Capacity and communication for social change in Peruvian municipalities
Bibliographic record
Abstract
This thesis is an exploratory study of the role that Communication for Social Change principles play in World University Service of Canada's (WUSC) project to strengthen the capacity of Peruvian municipalities in the area of water and sanitation. The research took place in two case study locations, one urban and one rural, and was conducted through stakeholder workshops, semi-structured interviews, participant observation and a review of project documents. The findings describe the communication, collaboration and perceived changes in individual and organizational capacity that have taken place based on WUSC's work with municipal governments, water companies, water user groups, and end users. In doing so, the research reveals that WUSC carries out many effective communication and capacity development activities based on their long-term engagement with their counterparts and their "learning by doing" approach. However, they do not have overall strategies in either of these areas, which has resulted in the exclusion of some stakeholders and difficulty in monitoring and evaluating these areas which may hamper the overall long-term impact of the project. Based on these findings, the paper suggests how Communication for Social Change principles could be applied to help improve other capacity development projects of this type. While this study does not directly address debates about water privatization, it does offer reflections for improving the effectiveness of local level water management.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".