MétaCan
Menu
Back to cohort
Record W4409339471 · doi:10.1017/lsi.2025.7

Peacekeeper-perpetrated sexual exploitation and abuse in the Democratic Republic of the Congo: Legal pluralism and legal recession

2025· article· en· W4409339471 on OpenAlexafffund
Heather Tasker, Annie Bunting, Susan A. Bartels

Bibliographic record

VenueLaw & Social Inquiry · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsQueen's UniversityYork UniversityDalhousie University
FundersQueen's UniversityCentre National d’Etudes Spatiales
KeywordsDemocracyLegal pluralismPolitical sciencePluralism (philosophy)CriminologyLawSexual violenceSociologyLegal researchLegal realismPolitics

Abstract

fetched live from OpenAlex

Abstract The United Nations (UN) has operated a longstanding peacekeeping mission in the Democratic Republic of the Congo (DRC), while simultaneously contributing to rule-of-law building and transitional justice processes. Sexual violence is widespread in the DRC including routine allegations against UN peacekeepers. The operation of numerous legal systems and judicial mechanisms in the DRC produces a legally plural environment that is difficult for survivors of sexual and gender-based violence to navigate, and this is especially true for survivors of peacekeeper-perpetrated sexual exploitation and abuse (SEA). In this paper, we explore justice-seeking among SEA survivors in the DRC and the challenges imposed by the complicated jurisdictions and layered legalities pertaining to SEA. Moreover, we argue that, beyond barriers to justice, we see a recession of justice for SEA produced by the United Nations and member states positioning SEA as distinct from other forms of gender-based harms and exacerbated through the legal navigational challenges faced by survivors.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.998

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 studies0.0010.001
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 head0.046
GPT teacher head0.341
Teacher spread0.295 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueLaw & Social InquirySame topicGender, Security, and ConflictFrench-language works237,207