Bibliographic record
Abstract
that environmental justice frameworks laid the basis for communities to pursue food justice.In the preface to Tainted Tap, Davis, who was raised in Flint, lays out her personal connection to the city.Her most vivid memory of watching the state neglect her neighborhood features the local grocery store.Full of rotting meat, stale bread, and brown vegetables, and yet charging high prices, the local market was the ''store of last resort'' (p.xii) for those who couldn't drive across town.Davis describes that store as part of an insulting local landscape, ''like the unexplained fires that burned throughout the night'' (p.xii).This experience sparked her desire to investigate the water crisis in the context of the racialized and classbased allocation of essential services in depopulating cities.To scholars of food studies, it can also serve as a reminder.Investigating the presence or absence of a grocery store is not enough.Inequitable access to food is part of a broader landscape of neighborhood abandonment, brought on by processes of urban development that deprive poor communities and communities of color of the ability to live healthy lives, and resulting in disproportionate vulnerability to premature death.We would do well to continue to bring this important context into our work.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".