Bibliographic record
Abstract
Under-aged girls as young as 12 years old are being subjected to sexual exploitation by traffickers according to a Criminal Intelligence Service of Canada (CISC); this is a pressing national problem, as organized crime networks are actively trafficking Canadian-born women and under-age girls within and between provinces and to the United States, destined for the sex trade. Law enforcement agencies are beginning to investigate and lay human trafficking charges under Canada’s Criminal Code s. 279.01 which carries a maximum term of imprisonment of 14 years, and up to life imprisonment if the accused kidnaps the victim, subjects them to aggravated assault or aggravated sexual assault, or causes the death of the victim during the commission of the offense. However, there are currently no minimum sentences provided, even when the victim is a child. This is a serious gap in the current law, which Bill C-268, An Act to amend the Criminal Code (minimum sentence for offenses involving trafficking of persons under the age of eighteen years), aims to address by introducing a five-year mandatory minimum term of imprisonment for trafficking in persons under 18 years of age. The inappropriately short sentences handed down in two Canadian cases (Imani Nakpangi and Michael Lennox Mark) are discussed, lending strong support to the need for parliamentary intervention in the form of Bill C-268.
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 | 0.007 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.018 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.011 |
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".