On thin ice: Assembling a resilient service hub
Bibliographic record
Abstract
Inner‐city service hubs are vital spaces of survival for homeless populations. They are also vulnerable to gentrification‐induced displacement, putting the populations they serve at increased risk. This paper contributes to recent work on the resilience of inner‐city service hubs through a case study of Edmonton, Canada. Specifically, we theorise the assemblage‐like qualities of Edmonton's service hub, in the context of a major urban redevelopment project. As a heterogeneous grouping of different spaces of care, service hubs lend themselves well to assemblage thinking. Viewed from this vantage point, service hubs can been seen as relational achievements, assembled through articulations among voluntary sector, private and government organisations. We demonstrate how these articulations express multiple practices, ideals and values and add to the spatial resilience of the service hub in historically and spatially contingent ways.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.020 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".