Representing Race and Ethnicity in American Fiction, 1789-1920
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
Our project, which aims to reconstruct racial discourse in American literature, tracks three critical aspects of the representation of race and ethnicity in a corpus of over 18,000 American novels published between 1789 and 1920. First, we provide a historically sensitive account of the ethnicities that most occupied the nation’s racial imaginary, registering how different ethnic groups were perceived to be biologically, geographically, or socially linked. Second, we track the descriptive terms most associated with particular ethnicities over time as we trace the changing discursive fields surrounding particular racial groups. Finally, we explore the coherence of the discourse around each race and ethnicity represented across American literature before 1920, paying close attention to the ways in which various groups did or did not exist as semantically unified groups at specific historical moments. Taken together, our three questions show not just who was under discussion and how, but also the history—and historicity—of racialization and ethnic thinking writ large.
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 | 0.001 |
| 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 it