The Rwandan genocide and the media: a two-stage analysis of newspaper coverage
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Rwandan genocide exhibited a faster rate of killing than any genocide in recent history, taking place over 100 days; however, at the time of its occurrence, it was relatively ignored by the international community. In 2005, Major General Romeo Dallaire singled out the Western press coverage and condemned it for its failure to adequately publicize the genocide. Nevertheless, few studies have analysed the media’s coverage of the genocide and no studies have looked at Canadian media or the criminal aspects of the genocide reporting. This study examined articles printed in the New York Times and the Globe and Mail and consisted of a two-stage content and discourse analysis. The content analysis involved analysis of 17 variables in 577 articles, while the discourse analysis examined the extent to which common themes associated with crime served as a framework for making sense of the Rwandan genocide in 311 articles. As part of the discourse analysis, the data was assessed through a cultural criminological perspective which focused on five criminological themes; crime, perpetrators, victims, law enforcers and law and order. Overall, the results show that Rwanda was presented in the media as a chaotic and primitive country, in many ways beyond the reach of law, and therefore the language of crime was rarely used to describe the genocide. The planning, organization and systematic perpetration of the genocide were largely ignored and the media instead presented genocide in Rwanda as a natural and anarchic result of a primitive and tribal society.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it