Analyzing the Canadian International Development Agency's (CIDA) anti-trafficking processes
Bibliographic record
Abstract
This qualitative institutional ethnography thesis investigates how the Canadian International Development Agency (CIDA) coordinates anti-trafficking initiatives. This research begins by tracking the work coordination between CIDA and the Interdepartmental Working Group of Trafficking in Persons (IWGTIP) then moves to the analysis of how CIDA funds an international anti-trafficking project. The purpose of my research is to be able to clearly describe how CIDA's work on anti-trafficking initiatives is coordinated, often in mundane, normalized day-to-day tasks and understand how these initiatives impact trafficked women's lives. This research is important as institutional decision making often occurs outside of our everyday understanding and is invisible to the people CIDA seeks to help. By describing CIDA employee's activities, with the use of mapping, this research reveals the ruling relations that occur. This thesis demonstrates how governing processes organize government's work and people's lives, making it possible to uncover the consequences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.028 | 0.021 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".