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Record W6940763625 · doi:10.1093/isq/sqaf026

Why Protectors Become Predators? Violence against Civilians by AMISOM Peacekeepers in Somalia

2025· article· en· W6940763625 on OpenAlexfundno aff

Bibliographic record

VenueInternational Studies Quarterly · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
FundersYork UniversityNew York University
KeywordsPeacekeepingMandateLeverage (statistics)NeglectHuman rightsTerrorismPhenomenonSexual violence

Abstract

fetched live from OpenAlex

Abstract This study investigates the phenomenon of peacekeepers resorting to lethal violence against civilians, despite their mandate to protect them. While existing literature acknowledges that some peacekeepers perpetrate human rights abuses, including sexual exploitation and excessive force, there has been a notable neglect of studies on lethal violence within the broader spectrum of peacekeeping misconduct. I propose and evaluate two explanations: the revengehypothesis, suggesting emotional responses to attacks on comrades as drivers of violence, and the show of force hypothesis, where violence is an unintentional byproduct of deterring perceived threats. Using original survey data and an event dataset from AMISOM in Somalia, I leverage the random exposure to Improvised Explosive Devices (IEDs). Results suggest that while IED attacks on peacekeepers are linked to subsequent violence against civilians, lethal force is primarily used following the loss of a fellow peacekeeper due to an IED attack, supporting the revenge mechanism. These insights reveal the intricate interplay of emotions and peacekeeping dynamics, providing insights into the origins of abusive behavior.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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