Housing risk factors’ effects on home conceptualizations: exploring the additive impact of residential history
Bibliographic record
Abstract
This study explores the intersection of housing risk factors and home conceptualization by examining how factors such as crowding, low housing quality, and residential insecurity influence people’s concept of their actual and ideal homes. We hypothesize that acute residential pressures stemming from housing risk factors lead to altered conceptualizations of home, with residential history amplifying these effects. Conducting semi-structured interviews in the Los Guayacanes node west of Panama City, we used the Housing Preferences Instability Index, HPII, to assess housing risk factors affecting residential experiences, and applied ordinal logistic regression to explore their relationship with participants’ actual and ideal home conceptualizations on a nine-dimensional scale. Our results show significant associations in the dimensions of safety, privacy, nature connectedness, and religion, influenced by the combined effects of housing risk factors and residential history. The findings provide new insights into how housing risk factors shape actual and ideal home conceptualizations, contributing to understanding housing’s impact on health, exploring the Latin-American context.
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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 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".