Bibliographic record
Abstract
ABSTRACT EVALUATING A TYPOLOGY OF HOMELESSNESS ACROSS A MIDWEST STATE by DEVIN M. HANSON August 2018 Advisor: Dr. Paul Toro Major: Psychology (Clinical) Degree: Doctor of Philosophy Identifying a typology remains an effective method to summarize and distinguish the different ways that people experience homelessness in communities. More than twenty years ago researchers in the northeast United States developed an approach to create a typology of homelessness by using electronic records of shelter stays and two dimensions of homelessness; number of episodes, and length of time spent homeless. The three-part typology Randall Kuhn and Dennis Culhane identified has shaped the way researchers and policy makers conceptualize homelessness and what strategies are utilized to address it. Since that time other studies have used the same approach in searching for a typology in three municipalities in Canada. This study applies Kuhn and Culhane’s approach to a broader region with urban, suburban, and rural geographic and population centers. What is found is a remarkable similarity and consistency in the typology that arises in these regions, and consistency with previous work in varied settings (New York City, Philadelphia, Toronto, Ottawa, Guelph). Implications for the consistency of this typology twenty years later are discussed and a potential needed shift in approach to this effort are discussed.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".