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.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".