Adverse childhood experiences in a pathway to single adult homelessness in Hamilton, New Zealand
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
Adverse childhood experiences (ACEs) can contribute to housing instability and risk of homelessness, featuring disproportionately in the life histories of many people experiencing homelessness. However, little is known about the prevalence and lifelong impact of ACEs among people experiencing homelessness in New Zealand, a country experiencing increasing homelessness levels amid a housing affordability crisis. Drawing on data from 100 questionnaire surveys and 11 interviews with participants registered with The People’s Project, a Housing First homeless service in Hamilton, we explore the prevalence and role of ACEs in homeless journeys, identifying a common pathway to homelessness among participants. Some varying factors contributing additionally for Māori (indigenous people) were identified. Our findings showed ACEs were commonly reported by participants, often preceding a series of disruptive events across participants’ lives. Accumulations of adverse events, coupled with structural and other constraints, contributed to housing insecurity across lifespans. Results highlight the importance of trauma-informed homelessness initiatives, such as Housing First, as well as measures aimed at reducing upstream drivers of homelessness such as poverty, structural racism, and the ongoing impacts of colonisation in New Zealand.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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