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Record W3204835173 · doi:10.1108/jacpr-03-2021-0584

Proactive and reactive responses to pregnancies resulting from sexual exploitation and abuse: an ecological model based on Haitian survivors’ experiences

2021· article· en· W3204835173 on OpenAlexaff
Luissa Vahedi, Sabine Lee, Susan A. Bartels

Bibliographic record

VenueJournal of Aggression Conflict and Peace Research · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsQueen's University
Fundersnot available
KeywordsDistrustPsychologyOriginalityChild sexual abuseQualitative researchEconomic JusticeSexual abuseCriminologyPolitical scienceSocial psychologyMedicineSociologyPoison controlSuicide preventionLawSocial sciencePsychotherapistEnvironmental health

Abstract

fetched live from OpenAlex

Purpose This paper aims to analyze the lived experience of seeking justice and reparations related to conceiving a peacekeeper-fathered child. Design/methodology/approach Based on 18 semi-structured qualitative interviews conducted across Haiti in 2017, the authors mapped the experiences of Haitian mothers of peacekeeper-fathered children onto the ecological framework, proposing prevention/response strategies at the micro, meso and macro levels. Findings The findings mainly focus on reporting and access to support. Reporting was sometimes discouraged by the peacekeeper fathers due to the fear of being reprimanded. Among women who did report, some were told that nothing could be done, as the peacekeeper returned to his home country. Disclosure fatigue was common among participants who formally reported their pregnancies/peacekeeper-fathered children, particularly when promises of employment or child support failed to materialize. Overall, there was widespread distrust and disillusionment with the UN’s reporting and support system. Originality/value To improve the UN’s sexual abuse and exploitation prevention/response system at the micro level, the authors propose addressing personal knowledge/attitudes/beliefs through scenario-based and contextually relevant peacekeeper training and addressing the sexual/reproductive health needs of women and girls in proximity to peacekeeping bases. At the meso level, the UN should improve trust in reporting. Efforts to do so should include mandatory third-party deoxyribonucleic acid testing and banking, streamlined reporting mechanisms and removing the practice of automatically repatriating implicated peacekeepers. At the macro level, the authors recommend investments to improve educational and economic opportunities for women and girls, as well as revamping policies that contribute to impunity and absolve peacekeepers and troop-contributing countries of their responsibilities to provide child support.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.426
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.180
GPT teacher head0.459
Teacher spread0.279 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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