Bibliographic record
Abstract
The chasm between normative development and international practice regarding humanitarian intervention is wide, as evidenced by the ongoing genocide in Darfur. Rarely are political reality and pious rhetoric in sync. Depicting the normative development on a graph would reflect a steady growth since the early 1990s, whereas the curve depicting the operational capacity and political will to engage in humanitarian intervention would resemble the path of a roller coaster. This article examines the trajectory of norm building about military intervention for human protection purposes, emphasizing the concept of the ‘‘responsibility to protect.’’ While considerable progress has been made toward resolving the fundamental tension between the principles of state sovereignty and human rights, the actual practice of military humanitarianism has reached a nadir at present. The article highlights five impediments to human protection in genocidal contexts: the resistance from the Non-Aligned Movement; the blowback from 9/11; a distracted superpower; spoilers, war economies, and privatization; and the civilian humanitarian identity crisis itself.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.021 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.075 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".