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Record W2528086873

What’s in a Name? The Feasibility and Desirability of Naming Forced Marriage as a Separate Crime Under International Humanitarian Law

2010· article· en· W2528086873 on OpenAlexaffvenue
Krista Stout

Bibliographic record

VenueDalhousie journal of legal studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsMisrepresentationPhenomenonLawForced marriageForced migrationSierra leoneSociologyInternational humanitarian lawFace (sociological concept)CriminologyPolitical scienceInternational lawRefugeeSocial scienceEpistemology
DOInot available

Abstract

fetched live from OpenAlex

The phenomenon of forced marriages during armed conflict has recently garnered international attention, as it has become apparent that these coerced relationships are not mere happenstance, but are often the result of strategic planning on the part of armed groups and are thus an integral part of ongoing conflicts around the globe. The purpose of this paper, therefore, is to critically examine the phenomenon as it manifests itself in armed conflict situations, with a specific focus on Sierra Leone, and to unpack the various violations that occur under the guise of this pernicious labeling to see whether it is desirable and justifiable to name forced marriage as a separate crime under international humanitarian law (IHL), or whether the phenomenon is adequately addressed within the framework of existing IHL. I will ultimately argue that the recognition of this separate and distinct crime under IHL is a necessary and logical development in the law, as it forms part of a trend toward increasing recognition of the unique gender-based harms that women and girls face within armed conflict. While some authors have argued that naming the crime forced marriage leads to a “complete misrepresentation and distortion” of the women and girls’ experience within these relationships, this paper will argue that it is not the naming of forced marriage as a crime that will lead to this misrepresentation and distortion. The ultimate goal in arguing for the naming of forced marriage as a separate and distinct crime under IHL is to help avert, at least partly, this body of law inscribing and reinforcing a “partial and distorted vision of women that has little to do with the reality of their lives, or the way they experience warfare.” This article will suggest that naming is an important step in rendering this crime visible and thus in enabling the international community to express its condemnation of forced marriage, but more importantly in giving voice to the experience of the women and girls who are coerced into forced marital relations. The first section of this article provides a contextual backdrop to the discussion to follow by presenting the experiences of the “wives” of Sierra Leone in their own words, thus allowing for the formulation of a definition of forced marriage that captures the true nature of these “marriages” as they are understood by affected Sierra Leonean women and girls. The second section introduces the 2008 decision of the Special Court of Sierra Leone (SCSL) in Prosecutor v. Alex Tamba Brima, et. al., which found that forced marriages are a crime against humanity. The third section addresses the constituent elements of the overarching crime of forced marriage, namely sexual slavery and enslavement, other sexual violence, and the use of child soldiers, to show how prosecution of the individual components of forced marriage is inadequate. The final section argues that naming forced marriages as a separate crime within IHL is essential in that it forms part of a recent trend of gendering IHL, gives voice to the victim-wives, and may have a normative and practical influence beyond the boundaries of IHL.

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)0.003
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.058
GPT teacher head0.380
Teacher spread0.322 · 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
Published2010
Admission routes2
Has abstractyes

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