Peace and Conflict Impact Assessment (PCIA) in Community Development: A Case Study from Mozambique
Bibliographic record
Abstract
Peace and conflict impact assessment (PCIA) is a tool that potentially can improve the quality of development work in conflict zones. PCIA’s conceptual strengths and weaknesses are much debated but few studies to date have examined its use in practice. For this article, PCIA was used to structure research on conflict and peace dynamics in post-war Mozambique. The findings address both local peace-building outcomes and the usefulness of PCIA. PCIA functioned well as a tool for situational analysis, richly documenting sources of conflicts, competing claims over resources and rights, and problematic policies on the part of development organisations, government and private actors. Difficulties associated with the gathering of information stemmed from systemic power differentials between ‘researchers’ and ‘respondents’, and intensive demands on time and resources. The article concludes that PCIA, if used flexibly and in dialogue with local people, could prove a valuable complement to existing assessment tools in conflict areas.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".