Coordinated Access and Coordinated Entry System Processes in the Housing and Homelessness Sector: A Critical Commentary on Current Practices
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
Coordinated access and coordinated entry systems have become central features in community responses to homelessness in Canada and the United States. Coordinated systems assess individuals and families experiencing homelessness on their needs, prioritize them based upon these needs, and then match them to appropriate housing. Despite the widespread implementation of coordinated systems, there have been few evaluations of the effectiveness of these systems. The current article fills this knowledge gap by providing an overview of the evidence and a critical commentary on the four pillars of coordinated systems—(a) access, (b) assessment, (c) prioritization, and (d) matching and referral—and presenting a critique of current practices. Using the policy streams framework, the critique demonstrates that the components of coordinated systems lack a strong evidence base and that there is little evidence that coordinated systems improve individual-level outcomes such as length of stay in housing. Further, current coordinated system practices, particularly assessments, may be contributing to inequitable access to housing. Limitations of the critique and considerations for implementation are discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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