Bibliographic record
Abstract
\\"YOU HAVE THE RIGHT TO GET HELP IF YOU'VE BEEN ABUSED, NEGLECTED OR TREATED BADLY.\\"  - Article 39 of the United Nations Convention on the Rights of the Child  On this week's Inside Human Trafficking in Canada episode, we venture into a form of human trafficking that is often disguised and yet normalized for many. Episode 5 focuses on forced marriage, which is commonly seen as a union of love between two consenting individuals. The institution of marriage, however, can be used as a legalized tool to manipulate and exploit one or both individuals, becoming a gateway for human trafficking.  Deepa Mattoo joins us to discuss the human trafficking of young people for the purpose of forced marriage, providing examples, signs of this form of trafficking, and solutions for how we can help end this problem.  Deepa Mattoo is the Executive Director of the Barbra Schlifer Commemorative Clinic as well as an Adjunct Professor at Osgoode Hall Law School. Deepa's work is focused on ending gender-based violence, including forced marriage. Deepa has appeared before parliamentary committees and United Nations civil society meetings, commissions, and courts on human rights issues and has provided education to those working with forced marriage survivors, racialized non-status women, and immigration law clients within the context of gender-based violence.  To learn more about the Barbra Schlifer Commemorative Clinic, visit: https://schliferclinic.com  --  To read podcast transcripts and find more resources, visit: insidehumantraffickingincanada.wordpress.com If you'd like to ask questions, or continue this podcast conversation online, please tag us on social media using #InsideHumanTrafficking . Inside Human Trafficking in Canada is a podcast created by the Manitoba Advocate for Children and Youth and Youth Troopers for Global Action .  To learn more about the Manitoba Advocate for Children and Youth , visit: https://manitobaadvocate.ca/  To learn more about Youth Troopers for Global Action , visit: https://ytga.com/  Special thanks to our audio producers: Daniel Chavez from Sisepuede Productions ( https://www.sisepuedeproductions.ca/ ) and Darshan Dorka from Nexstanza; as well as Prophix Software ( https://www.prophix.com/ ) for providing financial support to YTGA.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.715 | 0.006 |
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; both teacher heads agree on what is shown here.
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".