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Record W1997083709 · doi:10.1163/170873811x606435

From Sympathy to Reparation for Female Victims of Sexual Violence in Armed Conflicts

2011· article· en· W1997083709 on OpenAlexvenueno aff
Chile Eboe-Osuji

Bibliographic record

VenueAfrican Journal of Legal Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSympathyCompensation (psychology)Rationalization (economics)Political scienceLawPsychologyLaw and economicsSociologySocial psychology

Abstract

fetched live from OpenAlex

Abstract There is a newfound momentum in international law for reparation for the victims of gross violations of human rights. This momentum has been largely hortative in resonance than actual. The slow progress in translating that desire into tangible, effective reparation programmes is partly attributable to the absence of coherent theoretical bases – especially palatable ones – for reparation in particular cases. It is submitted, however, that in canvassing the theories of reparation, the driving consideration must always remain the interests of victims and not the intellectual satisfaction of knowledgeable and well-meaning experts. The most erudite rationalization of the idea of reparation will be of no consequence if it does not, in practice, assist in improving the lives of the victims. While, it is important always to keep in view the fault-based theories of reparation, it is also advisable to consider the utility of employing the no-fault-based rationale for achieving the aim of reparation when the party at fault is either unavailable or unable to make reparation at all or in full. Hence, guidance might be had to the gratis model of reparation employed in many domestic jurisdictions to make some compensation to victims of violent crimes.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.114
GPT teacher head0.376
Teacher spread0.262 · 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 designQualitative
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

Citations2
Published2011
Admission routes1
Has abstractyes

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