Bibliographic record
Abstract
Society for Applied Anthropology, Vancouver, 30 March 2006, Panel on Timing and Spacing Development, Exporting Integrity: Anti-corruption Programs in the Balkans Steven Sampson Dept of Social Anthropology Lund University, Sweden Contact: steven.sampson@soc.Lu.se Anti-corruption is high on the list of development priorities, and a high level of corruption can actually prevent a government from receiving aid. This paper focuses on Transparency International, the leading anti-corruption NGO, and its strategy of operating at both global levels and at local levels through the establishment and coordination of its 90 national chapters. Transparency International is well-known for its ‘coalition-building’ strategy in which government, civil society, international donors and the private sector should all cooperate. Coalition-building is about trust, but most of the societies which are rampant with corruption are characterized by distrust. The dilemma of exporting what are essentially moral relationships is illustrated with examples from southeastern Europe. Branding and franchising anticorruption are one way in which these dilemmas remain hidden from view.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".