Outcomes of the Inner City Youth at Risk Project July 2010 - June 2012
Bibliographic record
Abstract
The Inner City Youth at Risk (ICYAR) Project is a partnership project which draws together 21 government and non-government organisations (NGOs) to target and respond to young people who are experiencing homelessness and/or at risk of homelessness in Kings Cross and surrounding areas in Sydney, New South Wales. Partners include mainstream health services, other government agencies, local government, and a range of youth and homelessness support agencies and NGOs. This report describes the activities and achievements of the project and the costs of providing services, based on the ICYAR database between 1st July 2010 and the 30th June 2012. Key findings are: (1) over the data collection period, 1145 instances of brokerage were provided to 487 clients, including 190 food vouchers, 157 housing set-up costs, 142 instances of emergency accommodation and 116 contributions towards education and vocation; (2) a quarter of all clients identified as being of Aboriginal and/or Torres Strait Islander origin. The average age at which clients first had contact with ICYAR was 22, and young men and women were equally represented; (3) the project is reaching its target client group of highly disadvantaged young people. The majority of clients experienced unstable accommodation (82.9 per cent). Around a third had mental health issues, and almost a third of clients had alcohol and other drug (AOD) issues. The majority of clients had multiple presenting issues; (4) access to brokerage is a highly valued component of the ICYAR service model, but average expenditure is quite low; and (6) the service model is regarded by partner agencies as effective and efficient, and their sustained participation over the life of the project reflects this.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".