Chimamanda Ngozi Adichie’s Americanah: Of Hybrid Subjectivity, its Locations and Subverting Potential
Bibliographic record
Abstract
This paper looks into Chimamanda Ngozi Adichie’s Americanah as a postcolonial text. Using the Bhabhaian constructs of “mimicry,” “hybridity” and “the third space,” this paper argues that Adichie’s narrative portrays how the coming together of cultures induces “mimicry” of the cultural norms of the seemingly dominant culture. Owing to this “mimicry” the mimicking characters develop a “hybrid” identity characterized by “ambivalence.” This paper also argues that the location/ site of mimicry and consequent development of hybrid identity are not conditional upon physical migration, or moving beyond the borders of one’s homeland. The tendency to look up to the supposedly dominant culture can prevail within the confines of natives’ own society as well, which is perhaps an indication of the post-colonial society still reeling under the continued colonial influence. Whatever maybe the location of “hybrid” characters, “ambivalence” invariably crops up in their identity. Although ambivalence indicates being indecisive about one’s identity, and about how one looks at the identity of the other, it might also mean emancipation from the burden of restricting and discriminating categories as exemplified by Adichie’s narrative. In the ambivalent state the hybrid subjects can nurture hopes to rise above the assumed purity of cultures. The native- colonial or white-black nexus in this sense may be understood to have steered away from confrontation, and found a way towards reconciliation.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".