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Record W3177358329 · doi:10.3126/mef.v11i0.37854

Unpacking Human Trafficking from Neoliberalism and Neoconservatism Paradigms in Nepal: A Critical Review

2021· review· en· W3177358329 on OpenAlexaff
Rita Dhungel

Bibliographic record

VenueMolung Educational Frontier · 2021
Typereview
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsMacEwan University
Fundersnot available
KeywordsOppressionHuman traffickingCitizen journalismPolitical scienceUnpackingConversationNeoliberalism (international relations)SociologyParticipatory action researchAction (physics)Public relationsCriminologyEnvironmental ethicsPoliticsLaw

Abstract

fetched live from OpenAlex

This theoretical review paper examines the trafficking of women and children in Nepal caused by oppression and socio-economic marginalization and unpacks human trafficking from neoliberal and neoconservative paradigms. It does not discuss human smuggling but instead provides a critical examination of the forces contributing to human trafficking in Nepal according to the neoliberal and neoconservative paradigms. It begins with a brief overview of human trafficking in Nepal and then explores the international frameworks related to human trafficking. It then briefly examines the “4 P” strategy – prevention, protection, prosecution and partnerships – related to anti-human trafficking efforts and identifies gaps in practice/policies. It concludes with a critical discussion of the implications for social work. The paper also stresses that anti-trafficking intervention programs and approaches must be accountable and responsive to the aspirations, strengths, wisdom and experiences of the specific community and be sensitive to the external and internal forces contributing to the trafficking they seek counter. It claims that there is a need for participatory action research that invites trafficking survivors to engage in critical dialogue and conversation and help develop integrative strategies to address human trafficking in Nepal. To write this paper, the author critically reviewed secondary data, including qualitative and quantitative studies and NGO publications, but does not claim to provide a comprehensive or systematic analysis of evidence.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.076
GPT teacher head0.431
Teacher spread0.354 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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