Stability and Crisis: Creating a Sense of Home in Vancouver’s Downtown Eastside
Bibliographic record
Abstract
Vancouver’s Downtown Eastside (DTES) is an extensively researched neighbourhood, as the nexus of the city’s affordable housing crisis. The lack of affordable apartments and houses in the area has led to widespread improvisation and adaptation among community members. Many living spaces, such as SRO hotels and streets, do not provide the same sense of privacy and control common among those with access to private, self-contained suites and houses. Despite the unique nature of these practices, the process of home-making in the DTES has gone largely ignored by ethnographies of home. This thesis presents community members’ own stories of home, shared in interviews, to argue for the broadening of the ethnographic understanding of the home. In the DTES, community members speak not only of a private, physical home in their rooms or suites, but of a broader social home consisting of friendships, family, and other interpersonal supports. These two meanings of the word “home” coexist in the neighbourhood, and often overlap to demonstrate a strong sense of place-based community. This thesis argues for the inclusion of these definitions of home in home ethnography, broadening ethnographic understandings of the home to allow for the improvisation and flexibility that are so common in contexts of housing insecurity. The DTES described by community members provides a vibrant, layered home for its residents. Although many community members struggle to find stable housing, many already have a sense of home; this sense of home is presented here at the intersection of home and urban ethnographies.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.015 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".