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Human trafficking of Amerindian women in Guyana: challenges and strategies

2008· article· en· W2048904584 on OpenAlexaff
Lee Mantini

Bibliographic record

VenueInternational Nursing Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsIndigenousVulnerability (computing)Human rightsPolitical scienceCriminologyEconomic growthPublic relationsSociologyLaw

Abstract

fetched live from OpenAlex

AIM: This human-interest article aims to increase awareness of the root causes of Guyanese Amerindian vulnerability. BACKGROUND: In 2000, while working among the Wai Wai, Makushi and Wapishana tribes in the Rupununi, the author made a promise to a tribal Captain never to forget his people. Not only are the Amerindian people remembered, but their plight is being recognized and shared in an effort to end the exploitation of Guyanese Amerindian women. Every year, international humanitarian teams gain permission to provide health care and health education in Amerindian villages in Guyana. Ensuring that international health teams are informed about current Amerindian issues is vital to mission success. Lack of indigenous awareness with regard to human trafficking is evidence that Guyana's trafficking awareness campaign did not effectively reach the interior and therefore, international teams can be instrumental in bringing awareness to those most vulnerable to human traffickers. Improving indigenous and international awareness has the potential to reduce vulnerability, and to reduce the risk of humanitarian teams unknowingly sending silent victims back into a life of forced labour and sexual exploitation. METHODS: Emphasis is placed on discriminatory institutional and cultural factors impacting on young indigenous women increasing the likelihood of exploitation by human traffickers. Policy and service activities are examined to ascertain Guyana's current capacity to address human trafficking and meet the needs of victims. CONCLUSION: Building institutional and community capacity, and empowering indigenous peoples to take ownership for individual, family and community awareness and action against human trafficking are important steps to take in reducing vulnerability, ending human rights violations and improving the status of indigenous women.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.200

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 head0.051
GPT teacher head0.376
Teacher spread0.324 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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