Tamils at the Crossroad of Globalisation: Representing Tamil Diaspora Lives in Shyam Selvadurai's The Hungry Ghosts
Bibliographic record
Abstract
Globalisation is the process of integration and interdependence of people around the world. Mainly, the western countries trigger this globalisation as they are intellectually and technologically far better than the rest. Though Canada was discovered only several hundred years ago, it gradually rolled itself as a host country opening opportunity to the eastern world. Globalisation has a strong impact upon the rich countries but it also touches those people coming to the advanced country. Many Tamils had taken shelter in Canada when Sri Lanka was torn by civil war but it helped those Tamils take the opportunity of globalisation which had made pervasive influence throughout Canada. However, migration from various countries helped bring about globalisation in the cultural sphere, creating what Marshall McLuhan dubbed ‘the global village’. Besides portraying immigrant experience, Shyam Selvadurai’s text The Hungry Ghosts (2013) pinpoints different features of globalisation through the life styles, emotion, pangs etc of Shivan and his mother. They adjusted themselves with the emerging trends and their ways of life can be seen as reflecting the situation gripped by diaspora and globalisation at the same time. It is the globalisation which gave opportunity to the Tamils to find their future location in this world when they were inflicted by violence and conflict in their home country.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".