Bibliographic record
Abstract
The Responsibility to Protect , the report of the International Commission on Intervention and State Sovereignty (ICISS), focused on three international responsibilities in the area of human security: the responsibility to prevent, the responsibility to react, and the responsibility to rebuild. The report acknowledged the difficulty of identifying countries likely to experience widespread civil violence and then predicting when this would occur. But the authors of this book submit that if ever a case of a “responsibly to prevent” was possible to anticipate, South Sudan was it. A Comprehensive Peace Agreement (CPA) ended the Sudanese second civil war in 2005 with a call for a referendum to be held in South Sudan in 2011 to determine the region’s future, In the event, an overwhelming majority voted for independence for the region. The question that motivated this book is whether the CPA would set in motion a process resulting in yet another brutal conflict, and, if that conflict was widely predicted, what should be the response of the international community in terms of “responsibility to prevent”? Mass media coverage has been identified as an important factor in mobilizing the international community into action in crisis and potential crisis situations; however, the impact of media reporting on actual decision-making is unclear. Thirty-plus years of research has demonstrated consistent agenda-setting effects, while a more recent stream of research has confirmed significant framing effects, the latter most likely to occur in cases where advocacy framing is used. This book examines the way in which the press in Canada and the United States interpreted the potential for violence that accompanied South Sudan’s independence in 2011, and whether or not their governments had a responsibility to prevent.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".