The Politics of Moral Order: A Brief Anatomy of Racing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Franz Fanon and Elva Cook point out that race is more than simply a cognitive system of classification. Race is also inscribed on bodies and realized in geographies of space (Williams 1989). David Harvey (2001) has developed the latter theme in his account of the ‘moral geographies’ that symbolize relations between nation-states. His discussion calls attention to the ways in which a state gives value to place across various types of terrain. Spatializing race and class in the towns and cities of a state involves creating stigmatized zones that are naturalized. These zones are described as ‘slum’, ‘ghetto’, ‘fringe camp’, and the like. They suggest detritus and morass, islands of disturbed moral order residing within the state. ‘Reserve’, ‘homeland’, ‘quarter’, and ‘hinterland’ may seem more benign but can be turned to similar effect in any national discourse. Both in cities and interstate, these are spaces to ‘go around’. It becomes appropriate to know such places only through received knowledge and without the contaminating risk of actual engagement.
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.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it