Shades of Diasporic Experiences in London: A Reading of Samuel Selvon’s the Lonely Londoners and Buchi Emecheta’s Second-Class Citizen
Bibliographic record
Abstract
In recent times, given the rising spate of economic crunch bedeviling many African states, there has been a surge in migration to developed countries like the United Kingdom, Canada, the United States, etc. Often, the migrants travel out with lofty expectations about these foreign lands but get disappointed and end up doing debasing jobs just to survive. Many scholars have engaged diasporic experiences as an evolving concept in postcolonial literature but there is yet more room for exploration especially in the Nigerian context where the ‘japa’ syndrome seems to be gaining frightening momentum. Thus, this paper, adopts a postcolonial theoretical framework in examining the dimensions of diasporic experiences portrayed in Samuel Selvon’s the Lonely Londoners and Buchi Emecheta’s Second-Class Citizen. Selvon and Emecheta, in their novel, portray the dreams, aspirations, and expectations of immigrants as well as the dynamic experiences that completely alter their lives. The study, therefore, in the examination of the primary texts, highlights the myriads of problems encountered by immigrants in the novels; some of them include climate change, racism, accommodation, employment, taxation, the high cost of living, and discrimination. The essay concludes that foreign climes like London are not beds of roses and shows that immigrants are sometimes, subjected to conditions that may be worse than their experiences in their home countries. The paper recommends that the British government and indeed nations that have attained the status of developed countries, intensify efforts to reduce the plethora of problems encountered by immigrants living in the United Kingdom.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.019 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".