AN APPRAISAL OF THIRTY YEARS AFTER THE RWANDA GENOCIDE (1994-2024): LESSONS FROM HISTORY
Bibliographic record
Abstract
April 6, 2024 marked thirty years after the crisis in Rwanda always termed genocide. It was the climax of an existing conflict and civil war that had taken place in the country, since 1990. It was an ethnic based crisis that resulted in an unprecedented massacre in the last quarter of the 20th century. The country is in East Africa and also a member of the East African community (EAC). Between 1894 - 1918 Rwanda and Burundi were administered by the Germans. After the First World War the area was administered by Belgium under the mandate system of the League of Nations. Rwanda became independent in July 1962 following a revolution that took place between the two dominant and opposing ethnic groups, the Hutu and Tutsi. This study found out that ethnic minority and majority syndrome between dominant ethnic groups actually ignited the the genocide that devastated the entire country. This research uses historical narrative approach to bring to the fore the history of the crisis, thirty years after. The study proffered lessons that multiethnic societies can learn from the genocide.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".