Interview with Cristiana, Strava "Precarious modernities: assembling state, space and society on the urban margins in Morocco"
Bibliographic record
Abstract
What does living “precariously” mean in Casablanca? In 2014 it meant being labeled tcharmil (seeming to endanger public order) and swept up by the police, if you were an unemployed young man sporting a banda haircut and gathering with your mates on a street corner. Cristiana Strava witnessed this and other neglected aspects of urban vulnerability while conducting extensive fieldwork in Hay Mohammedi, a renowned working-class neighborhood on the margins of modern Morocco’s economic mecca, Casablanca. In Precarious Modernities: Assembling State, Space and Society on the Urban Margins in Morocco (Bloomsbury, 2021), Strava shares what she learned about how its residents create a sense of place and belonging, despite the manifold insecurities of living in a quarter that is losing both industries and social services. Focusing on the everyday lives and spaces of a mythicized community, and its interaction with heritage activists, international development agendas and technocratic planning regimes, Precarious Modernities documents how the depoliticization of the urban margins aids the consolidation of deeply unequal social, spatial, and economic orders.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| 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".