Passing Before ‘Passing’: The Ambivalent Identity of the Narrator in Johnson’s The Autobiography of an Ex-Coloured Man
Bibliographic record
Abstract
James Weldon Johnson’s The Autobiography of an Ex-Coloured Man is considered by many as an early seminal censure and commentary on the contested racial issue of African American in the United States of America. This paper argues that the ‘invisible’ protagonist of the Novel has passed for white as early as his childhood years. The narrator relinquishes his black identity for the conveniences and supremacy that the white identity entails. This paper brings to question the credibility of narrative in the novel; also, it proves that the narrator contradicts himself. The invisible narrator appears not to have a firm stance regarding the atrocities suffered by his own people—African Americans. People of color in the United States were caught between two cultures, identities, and lives. The un-named narrator has taken the least troubled road. He announces his passing for white at the end of the novel. This study contends that he has done so long time ago before he literally announces his passing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".