Transnational Information Politics: NGO Human Rights Reporting, 1986-2000
Bibliographic record
Abstract
What shapes the transnational activist agenda? Do non-governmental organizations with a global mandate focus on the world's most pressing problems, or is their reporting also affected by additional considerations? To address these questions, we study the determinants of country reporting by an exemplary transnational actor, Amnesty International, during 1986-2000. We find that while human rights conditions are associated with the volume of their country reporting, other factors also matter, including previous reporting efforts, state power, U.S. military assistance, and a country's media profile. Drawing on interviews with Amnesty and Human Rights Watch staff, we interpret our findings as evidence of Amnesty International's social movement-style ''information politics.'' The group produces more written work on some countries than others to maximize advocacy opportunities, shape international standards, promote greater awareness, and raise its profile. This approach has both strengths and weaknesses, which we consider after extending our analysis to other transnational sectors.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".