A mile in their shoes: NGOs' perspectives on cross-cultural development
Bibliographic record
Abstract
As the development/international aid 'industry' has grown in scale and scope, its increased visibility has attracted attention from critics who suggest that inadequate consideration of culture has limited its effectiveness. This study provides the perspective of Canadian-based NGOs on the issues and barriers they face in cross-cultural work, and the strategies they use to overcome them. The most dominant barriers to cultural relevance were found to be imbedded in NGOs' relationships with their donors and with their partners in the field. The research found that NGOs aim to be culturally relevant by encouraging partners in the field to facilitate much of the program design and implementation work, given the rationale that these partners better understand the local culture. In addition, NGOs recognize that donors must be educated on the realities of communities that receive their funds so that donations can be directed towards culturally relevant needs.
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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 | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.037 | 0.034 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| 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".