Working Homeless Men in Calgary, Canada: Hegemony and Identity
Bibliographic record
Abstract
This purpose of this research is to understand how young adult homeless working men experience homelessness in an oil boom and prosperous city, Calgary, Alberta. Following a period of participant observation, five purposively selected working homeless men aged 20-28 years participated in in-depth individual interviews, which were initiated around their daily food routine. We found that the men experienced moderate to severe food insecurity and reported negative physical health effects, including weight loss, related to their inability to acquire sufficient food to meet work demands. The interviews led to other findings: the men accepted full responsibility for their homelessness, internalized hegemonic ideologies of self-blame, and praised Calgary as a great city, in dissonance with their experience of discrimination and privation. The working homeless men also negotiated their identity through unspoken honour rules and through the construction of an informal system of resources and social networks. Although service providers were described as abundant, the men did not claim any meaningful interactions with them. Our findings suggest that efforts to address homelessness need to consider food needs related to accessible and adequate nutrition for sustaining work but also the ways in which working homeless men see themselves and view their homelessness as they navigate their day-to-day survival.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.034 | 0.020 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".