Bibliographic record
Abstract
This paper explores the plight of Tamil Refugees who are trapped to depart their ancestral land and suffer a humanitarian crisis through an analysis of Sharon Bala’s The Boat People. Tamil refugees have been living horrendously displaced lives from the early 1980s to the present in different parts of the world, particularly in Canada. This study uncovers the Tamil refugee humanitarian catastrophe to sustain their lives, resulting in a stateless population after being excluded from their inherited Land in Sri Lanka as a consequence of ethnic conflict. So, this paper adopts the theoretical frameworks of Giorgio Agamben, Hannah Arendt, and Thomas Nail to reflect the precarious situation of Tamil Refugees. Additionally, it embraces John Locke, Richard and Zapata Barrero to address this issue and the plight of Tamil Refugees. This paper concludes that Tamil immigrants are extremely dehumanized by portraying the obvious evidence of the protagonist Mahindan, who is intertwined in the perplexing legal process of Canada. Similarly, Tamil refugees are under a severe humanitarian crisis, thrown into such a situation to fight against the necessities of life, such as a lack of food, unsafe drinking water, insecure shelter, and harmful insects. While travelling, they have to take the risk of a life-threatening perilous journey on a wrecked boat and again inhuman imprisonment inside detention centres, to mistreatment after landing in Canada. Thus, they are in anxiety, frustration, pain, and misery, being excluded from the political sphere in both the Native and host countries.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".