The Construction of Social Housing Pathways Across Australia
Bibliographic record
Abstract
Housing pathways describe the changing experience of housing by tenants and their households over time and space. The impact of the transformation of social housing in recent years on these pathways is not well understood, and we investigate it in this report. Accessing and securing social housing is dependent on a range of eligibility criteria, with housing allocated on a priority needs basis. In some jurisdictions, having a low income alone does not guarantee eligibility for social housing. Living in social housing means that one’s housing can be subject to periodic eligibility reviews, which can also be triggered by (mis)use of premises or by changing household circumstances. For example, an increase in household income, the expansion of a household or when a household member needs to leave due to family violence. The way these issues are monitored and assessed across jurisdictions directly shapes the housing pathways of social housing tenants. Moves within social housing can be tenant-initiated or landlord-initiated. Tenant-initiated transfers are most likely to result from changing household circumstances, and landlord-initiated transfers from portfolio or tenancy management. Both tenant and landlord-initiated transfers are constrained by the wider policy context, specifically, a shortage of suitable alternative housing stock to transfer households to. Moves out of social housing may also be tenant or landlord-initiated. Previous research has demonstrated that regardless of who initiated the move, tenants often return to the social housing system. Returns to social housing are compounded by the increasing proportion of tenants with complex needs who are likely to require support to live in private housing. The lack of affordable and appropriate housing alternatives to social housing also increases pressure on the sector, including from tenants returning to the sector who have previously left. Many of the operational policies that shape housing pathways have been introduced in the context of sustained high demand and a lack of supply. They are therefore arguably designed to manage wait lists by rationing supply. While we are yet to explore the tenant experience of social housing pathways, reimagining social housing pathways likely requires a greater policy focus on ensuring positive outcomes for households. © Australian Housing and Urban Research Institute Limited 2019.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".