Experiences of Environmental Justice and Injustice in Communities of People Experiencing Homelessness
Bibliographic record
Abstract
Abstract People experiencing homelessness have a particular vulnerability to environmental hazards, yet there is little attention paid to the issue of homelessness in environmental justice literature. The current study is a phenomenological inquiry into the experiences of environmental justice and injustice in a community of people who are experiencing homelessness. To understand how people who experience homelessness in the Waterloo Region, Ontario, community conceptualize and experience their environment in terms of cleanliness, healthfulness, safety, and justice, 12 semi-structured interviews were conducted with people experiencing absolute homelessness in Kitchener and Cambridge, Ontario. Analysis shows that although knowledge of systemic environmental injustices is all but absent in this community, particular phenomena do stand out as critical issues, such as substandard rooming houses, drugs and alcohol, litter and pollution, and the behavior of police officers and city officials. Analysis also unveiled a significant dissatisfaction with municipal decision-making processes .
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".