Journal of Literature, Culture & Media Studies Vol.V.9&10 Jan.- Dec.2013Vol.V.9&10 Jan.- Dec.2013 Racism as a Crime against War Refugees in
Bibliographic record
Abstract
Abstract:For a refugee or an immigrant to some extent, an alien land often becomes a territory of suffering and exploitation. Whereas for an immigrant, the new place of adoption may not seem so hostile, for a refugee or exile the circumstances of his home country drive him from one land to another. The will of a refugee remains immaterial as he is forced to leave his homeland. The option of choice, therefore, does not remain with a refugee who has to bear racial discrimination to a greater degree. In all cases, however, the diasporic people are always haunted by a sense of loss, nostalgia, as Salman Rushdie also points out: “Writers in my position, exiles or emigrants or expatriates, are always haunted by some sense of loss, some urge to reclaim, to look back even at the risk of being mutated into pillars of salt.”(1991: 10). The present play articulates the experiences of refugees who find themselves in the worst of both worlds and bear the scars of racism. Since these hapless refugees cannot go back to their roots or their homes, their lives become equated with untold misery and suffering. The fleeing of these refugees from their war-torn country is confronted with racism on their arrival in Canada. The paper further attempts to contest the hegemonic power structures that remain instrumental in the subjugation of refugees. Dwelling on health-related problems of the refugee workers, the play interrogates the racial attitudes of the white employers who drag them into sordid and menial works. The play also describes the conflicts between indigenous and refugee workers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.009 |
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".