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Record W4401135184 · doi:10.5430/wjel.v14n6p263

A Quest for Malaysian Environmental Justice in Yang-May Ooi’s The Flame Tree

2024· article· en· W4401135184 on OpenAlexvenueno aff
Kittiphong Praphan, Surasak Khamkhong

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental justiceCorporationEnvironmental crimeRacismEconomic JusticeSociologyPolitical scienceLawCriminology

Abstract

fetched live from OpenAlex

This study aims to investigate the environmental agenda in The Flame Tree, an English novel by Yang-May Ooi, a Malaysian-British author. The concepts of environmental justice and environmental racism are employed in the analysis. Through the main characters and incidents in the novel, Ooi suggests that Malaysian local people suffer greatly from a lack of environmental justice in their community as a result of the manipulation of a transnational corporation operated by a global capitalist, who commits crimes in different forms to win a mega project under the policy for the country’s modernization. This mega project eventually causes an environmental apocalypse and a tragedy for the local people who do not have an opportunity to participate in the decision-making process regarding this project. Based on environmental racism, the local Malaysian people endure disruptions from the project initiated by the British race, the former colonizers of Malaysia, who aim to reap its full benefit. Despite the end of British Imperialism, the power relation between the British and the Malaysians persists. This novel protests against transnational environmental crime which leaves detrimental effects on the Malaysian land and people.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.277
Teacher spread0.268 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2024
Admission routes1
Has abstractyes

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