A Study on the Self-Construction of Joe Christmas in Light in August
Bibliographic record
Abstract
On the basis of Lacan’s theories of Mirror Stage and Three Orders, the paper analyses the process of seeking and constructing of protagonist’s self-identity in William Faulkner’s Light in August , exploring the inevitability of self-lost. Joe Christmas has been abandoned in an orphanage by his grandfather since the day he was born because his grandfather has suspected that Joe has the black blood. Joe became aware of his black identity as a result of the verbal abuse of the word “nigger” in other’s mouth. After that, he has been searching for his identity in the thirty years of short life. However, in the conflict between the self in the mirror and the name of the father in the symbolic order, Joe, on the one hand, gradually admitted his black blood without hesitation in front of the outsiders, and on the other hand, he extremely despised the black blood in his heart. In the extreme alienation, Joe gradually lost self and eventually died. According to Lacan’s theory, the self always exists in the connection with the other, and establishes self-identity by obtaining recognition from the other. It will easily lead to the self-alienation once the relationship cannot be handled correctly. Joe’s tragic fate caused by failure construction of self-identity not only arouses the sympathy of the readers but also arouses people’s reflection about their own identity. Even in the face of abnormal beliefs about race, religion, and so on, people should complete the construction of self-identity and recover ourselves.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".