Gaining a Fuller Picture of Sex Trafficking in Manitoba: A Case Study of Narrative-Based Research Utilizing 'Low Tech' Thematic Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores narrative-based, person-centered research, carried out by the author for his PhD dissertation, titled Modern Day Slavery and the Sex Industry: Raising the Voices of Survivors and Collaborators While Confronting Sex Trafficking and Exploitation in Manitoba, Canada. The article describes interview dynamics considered and accounted for, including positionality of the researcher and the narrative-based research methodology. The author provides detailed description of the grounded, inductive, old school, low technology data analysis process used, some of the challenges encountered, and recommendations for similar studies in future. The key challenges arose from the positionality of the researcher and the need to protect the participants from potential repercussions. The recommendations relate to the relevance of narrative-based research, limited transferability of the results of such research, and the value of a more open-ended interviewing style.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.243 | 0.126 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it