Migration and Identities in Chika Unigwe’s Novels
Bibliographic record
Abstract
Monumental dispersals caused by the phenomenon of migration greatly affect the identities of people. Much like the process of globalization, migration is highly sexualized and gendered. To this extent, it is necessary to centralize women and their peculiar experiences in migration discourses and theories. Beyond the usual focus on the economics, politics and sociology of migration, which at any rate do not often adequately address gender-specific migratory experiences; this study takes a literary route that considers the fictional representations of migrant women in two of the novels of Chika Unigwe: The Phoenix (2005) and On Black Sisters’ Street (2008). The focus here is to underscore the validity and significance of gender as an imperative analytical premise in contemporary literary debates particularly by African migrants. In demonstrating how the inflections of gender portend different outcomes for men and women, the study significantly uncovers how the woman’s body is simultaneously the site of physical and symbolic migration. The essay traces the movement in transition and the impact of these and new environment on the bodies of female migrants and how the embodied motifs of migration ultimately alter the identities and realities of migrant African women in particular. In all, the essay hopes to expand some of the current theorizations on the new directions in the development of the fictional representations of Nigerian women as well as to contextualize the role of the emigre author in these developments.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".