The Schematic State: Race, Transnationalism, and the Politics of the Census
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
By examining the political development of racial classifications on the national censuses of the United States, Canada, and Great Britain, The Schematic State maps the changing nature of the census from an instrument historically used to manage and control racial populations to its contemporary purpose as an important source of statistical information, employed to monitor and rectify racial discrimination. Through a careful comparative analysis of nearly two hundred years of census taking, it demonstrates that changes in racial schemas are driven by the interactions among shifting transnational ideas about race, the ways they are tempered and translated by nationally distinct racial projects, and the configuration of political institutions involved in the design and execution of census policy. This book argues that states seek to make their populations racially legible, turning the fluid and politically contested substance of race into stable, identifiable categories to be used as the basis of law and policy.
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 | 0.001 | 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 | 0.001 |
| 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