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Record W2056950637 · doi:10.5539/jpl.v6n4p187

Re-Examination of Rape and Its Growing Jurisprudence under International Law

2013· article· en· W2056950637 on OpenAlexvenueno aff
Babalola Abegunde

Bibliographic record

VenueJournal of Politics and Law · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsTortureDignityCriminologyGenocideHumanityCrimes against humanityContext (archaeology)Sexual violenceStatuteJurisprudenceLawPolitical sciencePsychologyHuman rightsWar crimeSociologyInternational lawHistory

Abstract

fetched live from OpenAlex

The trend of recurrence rape in our society today constitutes a serious phenomenal threat to the human existence and dignity. This paper examined the offence of rape holistically from definitional perspective with reference to related concepts such as sexual violence, and marital /spousal rape. This paper also examined selected statutes which prohibit rape. It further examined rape in the context of genocide, crime against humanity, torture, and war crimes. Also, some selected statistics of rape were examined. Also, examined are effects and aftermaths of rape. The aim of this paper is to show that rape is a monstrously dangerous to humanity and should not be underrated. This is a desk-based research which relies on both primary and secondary resources of data which have been subjected to contentual and contextual analysis. It is the findings of this author among others that issue of rape must be frontally attacked but also that the problem of rape cannot be solved by measures taken within the criminal justice sector alone.

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 imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0070.042
Scholarly communication0.0130.007
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.307
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2013
Admission routes1
Has abstractyes

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