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Record W4206511858 · doi:10.3390/socsci11020034

Characteristics and Impacts of Conflict-Related Sexual Violence against Men in the DRC: A Phenomenological Research Design

2022· article· en· W4206511858 on OpenAlex
Ines Yagi, Judith Malette, Timothee Mwindo, Buuma Maisha

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocial Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsSaint Paul University
FundersSaint Paul University
KeywordsSexual violenceTabooPsychologyContext (archaeology)Social psychologyDevelopmental psychologyCriminologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

There is increased evidence of the existence of sexual violence against men and boys in many war-stricken areas. Yet, there are still discrepancies in understanding male victims’ experience in depth. Furthermore, limited research on sexual violence against men in the context of the war in the Eastern Region of the Congo has been undertaken to date. As part of addressing this knowledge gap, a phenomenological study was conducted to shed light and understand the experience of male survivors of sexual violence. The participants were males who experienced sexual violence in the war. Individual semi-structured interviews were conducted. The findings show that participants experienced a wide range of psychological and physical wounds other than rape. Their experience during the event (s) falls under the umbrella term gender-based violence (GBV) which encompasses other forms of harmful acts against one’s will including sexual assault, genital mutilation, acts of penetration with different objects, and cultural inappropriate actions with intention to sexually harass and humiliate. The results show a wide and complex range of short and long-term impact on multiple levels. The findings add clarification and understanding to the controversial and taboo subject around conflict-related sexual violence against men in the Congo. They shed light on how the understanding of gender impacts participants’ masculine identity, their sexual victimization experience, and healing journey.

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.

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.209
GPT teacher head0.412
Teacher spread0.204 · 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