Costs and pathways of homelessness: developing policy-relevant economic analyses for the Australian Homelessness Service System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this project is to help lay foundations for the development of robust economic evaluation and costing relevant to Australian homelessness policy and service delivery. The report tackles this in several ways. First, it explores a range of promising approaches to understanding and estimating the costs of homelessness and homelessness interventions, particularly those relevant to analysis at the broad policy level. Our focus is on the range of ‘pathways’ approaches to costing, which we investigate with reference to recent research and methodological discussion from Australia, the United States, Canada and the United Kingdom. We discuss strategic, practical and technical issues pertinent to the selection and implementation of these methods in the Australian context. The intention is to provide a map of possibilities, rather than a detailed instruction manual or a comprehensive review of relevant literature and data sources. [Executive summary]
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it