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Record W3169785144 · doi:10.3390/sexes2020019

Gender-Stratified Analysis of Haitian Perceptions Related to Sexual Abuse and Exploitation Perpetrated by UN Peacekeepers during MINUSTAH

2021· article· en· W3169785144 on OpenAlexafffund
Luissa Vahedi, Heather Stuart, Stéphanie Etienne, Sabine Lee, Susan A. Bartels

Bibliographic record

VenueSexes · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaArts and Humanities Research Council
KeywordsNarrativeScholarshipPeacekeepingPerceptionGender studiesSexual abuseNarrative inquirySocial psychologyQualitative researchPsychologyPolitical scienceSociologyPoison controlSuicide preventionSocial scienceMedicine

Abstract

fetched live from OpenAlex

Feminist scholarship has analyzed the gendered dynamics of national- and international-level risk factors for peacekeeper-perpetrated sexual exploitation and abuse (SEA); however, the gendered dynamics within the host country have not been adequately considered. Using the United Nations Stabilization Mission in Haiti (MINUSTAH) as a case study, this research analyzes gender differences within community-level perceptions of SEA. Using SenseMaker® as a data collection tool, cross-sectional qualitative and quantitative data were collected by Haitian research assistants over an 8-week period in 2017. Participants first shared a narrative in relation to MINUSTAH and then self-interpreted their narratives by noting their perceptions, attitudes, and beliefs on a variety of questions. The self-coded perceptions were analyzed quantitatively to determine patterns, and this was complemented with a qualitative analysis of the narratives. Women/girls were more likely to perceive the sexual interactions as “relationships” compared to Haitian men/boys. Furthermore, women/girls were more likely to perceive the peacekeeper as “supportive”, whereas men/boys conceptualized the peacekeeper as “authoritative”. SEA-related policies/programs, such as the UN Trust Fund in Support for Victims of SEA, should engage with local Haitian actors and consider such nuanced and gendered perceptions to maximize community trust and program efficacy.

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)0.000
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 score0.165
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.292
Teacher spread0.267 · 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

Citations12
Published2021
Admission routes2
Has abstractyes

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