"Hey Faggot" : Understanding that the Current Homeless System Planning Policy, and Land Use Planning Tools is not Designed to Address the Socialized and Institutionalized Disregard for the LGBTQ Homeless Youth Population
Bibliographic record
Abstract
Making up a disproportionate amount of the homeless youth population, LGBTQ homeless youth face a myriad of problems from increased depression and anxiety, emotional and belonging issues; higher rates of suicide, drug and alcohol abuse; and higher rates of STI and heath problems associated with increased rates of survival sex. The findings, derived from a literature review, a review of current policies and land use planning tools in Toronto, interviews with two frontline homeless service providers and two policy workers, have brought to light areas where the profession of urban planning can contribute to reform the current system of shelter and support facilities. Through language and skills training, provincial and municipal policy on housing and homelessness, land use planning tools of zoning by-‐laws and public consultations and the siting of facilities, and political backing, urban planning can help to aid in the provision of services for LGBTQ homeless youth.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".