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Record W7016004165

Women's Experiences of Healing After Sex Trafficking in Canada

2019· dissertation· en· W7016004165 on OpenAlexaffabout

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsOppressionResistance (ecology)Race (biology)Active listeningQualitative researchIndigenousSocioeconomic statusSex trafficking
DOInot available

Abstract

fetched live from OpenAlex

In Canada sex trafficking is a hidden crime that impacts women of every race and socioeconomic status, though Indigenous women are disproportionately represented as victims. This study provided a platform to listen to seven female survivors’ experiences of healing, strength and resiliency after they were freed from exploitation in Canada to counteract victim’s experiences of oppression and silencing. The qualitative feminist method of the listening guide was utilized to provide victim-informed research driven by participant’s narratives. Two categories of voices emerged in participants’ narratives: voices of resistance and voices of healing. The voices of resistance (oppression, dismissal, avoidance, confusion, and disconnection), spoke about obstacles and barriers in healing, while voices of healing (connection, knowing, compassion, resilience, advocacy, agency, and purpose), captured women’s stories of healing. Survivors were found to experience healing through connection with themselves and others, mastery of new skills, regaining their autonomy, finding purpose, and sharing their stories.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0650.000

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 head0.003
GPT teacher head0.200
Teacher spread0.196 · 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 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
Published2019
Admission routes2
Has abstractyes

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