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Record W3049750986 · doi:10.3167/asp.2020.140109

Between Trauma and Resilience

2020· article· en· W3049750986 on OpenAlexaff
Agatha Schwartz, Tatjana Takševa

Bibliographic record

VenueAspasia · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsSaint Mary's UniversityUniversity of Ottawa
Fundersnot available
KeywordsNarrativeIdeologyGeopoliticsPsychological resilienceReading (process)Gender studiesState (computer science)SociologyHistoryPolitical scienceSocial psychologyPsychologyPoliticsLawLiterature

Abstract

fetched live from OpenAlex

This article discusses the personal narratives (both published and personal interviews collected for the purpose of this study) of female survivors of wartime rape in post–World War II Germany and postconflict Bosnia and Herzegovina. The authors examine how the women succeed in finding their words both for and beyond the rupture caused by the rapes through examples of life writing that challenge the dominant masculinist historical narrative of war created for ideological reasons and for the benefit of the nation-state. Using theories of trauma and insights by feminist scholars and historians, the authors argue that a transnational reading of survivors’ accounts from these very different geopolitical and historical contexts not only shows multiple points of mutual influence, but also how these narratives can make a significant contribution, both locally and globally, when it comes to revisiting how wartime rape is memorialized, and how lessons learned from the two contexts can be relevant and applicable in other situations of armed conflict as well.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.198

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)0.0000.000

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 head0.059
GPT teacher head0.314
Teacher spread0.256 · 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 designObservational
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

Citations4
Published2020
Admission routes1
Has abstractyes

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