Bibliographic record
Abstract
Detroit’s governance consistently aims to overcome the city’s “underdog” status as an urban space of abandonment, violence, and post-industry. It is a simplified vision of Detroit that imagines its past, present and future through a particular 20th century trajectory of progress that ruptures with a white flight-“Black and poor” dynamic resulting in the city’s spiral into decay. However, at the community organizing level, groups and individuals engage in projects designed to assert their presences historically and now, to establish economic self-sustainability, and to imagine futures that reflect the lives of residents more explicitly. The Latine community, in particular, struggles to assert its presence in a city considered through a white-Black racialised lens and beyond its collective economic value and its strategic, infrastructural border with Canada. Drawing from 15 months of ethnographic research with Latine Detroiters, I consider their artistic and ecological interventions in space and time as indicators of a larger ‘bottom-up’ resistance to the city’s constructed identity through challenging the city’s self-perceived space-time. These individuals cultivate a “Latine space-time” in Detroit by agentively navigating Detroit and generating ‘Latine urban ecologies’—unearthed in this paper through the depiction of the transformations of soil, façade, and air fashioned by local muralists, graffiti writers, urban gardeners, and architectural aesthetics. Their interventions compose a Latine space-time, carving themselves in place, that fundamentally contests and reimagines the city of Detroit by nurturing colour, creativity, and life in opposition to narratives of abandonment and decay.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".