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Record W2801515854 · doi:10.32396/usurj.v4i2.198

A Constructivist Perspective of Rape as a Military Strategy: A Comparative Analysis of the Rwandan Genocide and the Bosnian War

2018· article· en· W2801515854 on OpenAlexaffvenue
Jacqueline Ashley Schoenfeld

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBosnianGenocideEthnic groupEthnic CleansingNationalitySocial constructivismGender studiesSociologyArgument (complex analysis)Perspective (graphical)Power (physics)Political scienceCriminologySocial scienceLawImmigration

Abstract

fetched live from OpenAlex

This paper explores how the social construction of a peoples’ ethnic or national identity can influence the use of rape as a military strategy. In exploring this concept, the Rwandan genocide and Bosnian War will be used as case studies. It is argued that rape as a military strategy derives coercive power from social constructions of ethnicity, nationality and gender in patriarchal societies. In presenting this argument, the constructivist school of thought is used to analyze the processes that led to social constructions of ethnicity, nationality and gender. This paper considers the subsequent social environment that allowed rape to be used as an effective military strategy in both Rwanda and Bosnia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0080.021
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.336
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes2
Has abstractyes

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