The Issue of Intent in the Genocide Convention and Its Effect on the Prevention and Punishment of the Crime of Genocide: Toward a Knowledge-Based Approach
Bibliographic record
Abstract
Since the Genocide Convention was created in 1948, its effectiveness has been hindered by debates on what the definition actually means. It has been widely accepted that the meaning of ‘‘intent,’’ within the Genocide Convention, refers to specific or special intent, dolus specialis. However, as more trials have taken place, creating more understanding of the crime of genocide, the linking of dolus specialis with the intent definition, that was so easily accepted at the first genocide trial (Akayesu at the International Criminal Tribunal for Rwanda [ICTR]), has been repeatedly put into question. The new approach being put forward as the most appropriate interpretation of ‘‘intent’’ is the knowledge-based approach. The Vienna Convention on Treaties states that interpretations of laws should follow the treaty’s original purpose and objective, and should do this by looking at the preparatory work and its circumstances. By looking at the Travaux Pre ́paratoires of the Genocide Convention and Raphael Lemkin’s original writings on the subject, this article will discuss which approach fits the original intentions of both the drafters of the Convention and Lemkin himself, to determine which interpretation should be used in the future when considering the crime of genocide.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".