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Record W7097479154

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

2016· article· en· W7097479154 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicInterdisciplinary Cultural and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeRacismImmigrationPower (physics)HegemonyWhite (mutation)CONTEST
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.005

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.

Opus teacher head0.053
GPT teacher head0.373
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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