The Melting Pot That Boiled Over: Racial Fetishism and the Lingua Franca of Jack Kerouac's Fiction
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
The racechanges in Jack Kerouac's fiction originate in racial fetishism. Kerouac's arrested Oedipal narratives and his related myth of Native Canadian ancestry lead to ambivalent identifications with black subjects, who exhibit characteristics that more properly belong to Kerouac's mother. These identifications exhibit a fetishistic play of presence and absence. Accordingly, Kerouac's racechanges are unstable formations designed to consolidate an ethnic minority writer's American national identity, his autochthonous link to a gendered landscape and his volatile sexuality. When Kerouac's fiction is read in "translation," his joual mother-tongue dramatises a psychosexual crisis in national belonging.
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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 | 0.002 | 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