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Record W3035437365 · doi:10.1163/17087384-12340052

Limitations of the Ordinary-Crimes Approach to the International Crime of Rape: the Case of Uganda

2020· article· en· W3035437365 on OpenAlexvenueno aff
Emma Charlene Lubaale

Bibliographic record

VenueAfrican Journal of Legal Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPrinciple of legalityLawStatuteInternational lawPolitical scienceLegislationCriminal lawCriminologySociology

Abstract

fetched live from OpenAlex

Abstract Not many states have effective national laws on prosecution of international crimes. Presently, of the 124 states parties to the Rome Statute of the International Criminal Court (Rome Statute), less than half have specific national legislation incorporating international crimes. Some faith has been placed in the ordinary-crimes approach; the assumption being that states without effective laws on international crimes can prosecute on the basis of ordinary crimes. This article assesses the practicality of this approach with regard to the crime of rape in Uganda. Based on this assessment, the author draws a number of conclusions. First, that there are glaring gaps in the Ugandan definition of rape, making it impossible for it to be relied on. Secondly, although national courts have the option to interpret national laws with a view to aligning them with international law, the gaps salient in the definition of ordinary rape are too glaring; they cannot be remedied by way of interpretation without undermining the principle of legality. Thirdly, prosecuting the international crime of rape as an ordinary crime suggests that approaches applicable to the prosecution of ordinary rape will be invoked. Because these approaches were never intended to capture the reality of the international crime of rape, the ordinary-crimes approach remains illusory.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.160
GPT teacher head0.335
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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