TITLE: Human Trafficking 2.0 The Intersection between Human Trafficking and New Media in Canada By
Bibliographic record
Abstract
Human Trafficking 2.0 is an interdisciplinary, major research project born at the crossroads of Web 2.0 technological advances and domestic human trafficking in Canada, two seemingly disconnected issues. This project will first define human trafficking by situating the issue in a uniquely Canadian framework, specifically through critical discourse analysis of the RCMP’s 2010 national report on human trafficking in Canada. The second section of the project will employ the method of content analysis, investigating 20 Canadian newspapers ’ reporting on the issue of Craigslist and human trafficking, proposing how Canadian news reporters might more effectively address future issues of domestic human trafficking, and rally consensus among Canadian public, government, and law enforcement officials. Ultimately, this project will raise questions, make propositions, and interrogate possible communications solutions pertaining to domestic human trafficking in an attempt to create change by envisioning, and mobilizing, the ideal, anti-human trafficking climate in Canada.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".