Dissolution of Cultural Diversity, Morality and Immigrants’ Dreams in John Lanchester’s Capital
Bibliographic record
Abstract
Immigrants from colonised countries live in many European countries, including Portugal, England, Germany and France. The prime reason for their immigration is to make money. Many post-colonial novels reflect the terrible condition of the immigrants in the world. In general, they highlight the ruin of multi-culturalism, morality and kindness in the prevailing society. The European countries focus on the fundamental needs and their expectations. They fail to protect the young immigrants and their aims. John Lanchester’s Capital boastfully describes the impact of the inevitable immigration of Asians and Africans to London. It is observed from the study that some immigrants are attracted by the life of aristocratic Londoners. This influences them to involve in criminal and immoral activities to live a luxurious life. As a result, London becomes a place of immorality. The dreams and cultures of the immigrants are entirely dissolute. On the one hand, the immigrants are considered to be slaves and criminals and on the other hand, they are exploited in sports, education and business contexts. This article brings out the condition of the immigrants in Europe with special reference to John Lanchester’s Capital through a qualitative study.
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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 | 0.017 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".