Gender, crime and marginal youth, assessing an integrated theory approach to studying economic survival strategies of street youth
Bibliographic record
Abstract
This thesis is an investigation of the impact gender has on the economic survival of Toronto's street youth, and an assessment of the theoretical significance of combining traditional theories with feminist concerns. Aspects of strain and control theories were combined with the foreground and background analysis prevalent in street research to create an integrated theory. Past research indicated females could be better-served if strain and control theories could be "feminized" rather than through the development of gender distinct theories, thus feminist and criminological approaches to gender studies were also considered. Secondary data analysis of a sample of 360 cases was used with permission of the primary researchers. Overall, the data describes different economic survival strategies for male and female street youth, with mostly contrasting factors contributing to street delinquency. The three major findings were: (1) street 'work' remains heavily gendered; (2) foreground needs found to be linked to street crime are far more important for males than for females; and (3) an integrated model is useful for considering gender in the street environment. (Abstract shortened by UMI.)
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".