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Record W2560448930 · doi:10.59588/2782-8875.1003

The Surviving Sunset of Manila Bay and the Ethics of Environmental Justice in Philippine Ecopoetry

2021· article· en· W2560448930 on OpenAlexaff
Rina Garcia Chua

Bibliographic record

VenueAkda The Asian Journal of Literature Culture Performance · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEnvironmental justiceEconomic JusticeVerdictGovernment (linguistics)Representation (politics)Environmental lawLawEnvironmental ethicsNatural resourceNatural (archaeology)SociologyPolitical scienceGeographyPolitics

Abstract

fetched live from OpenAlex

The Philippines, a country rich with natural resources, has taken steps to preserve its environmental megadiversity through the government’s existing environmental laws. However, reality seems to show a glaring disparity between what is being protected and what is being abused. The question is: what is fair to all? This paper’s primary purpose is to explore the aesthetics of local ecopoetry to discover whether the representation of environmental justice in literature can promote ecological fairness in the Third World. Using Hume’s concept of aesthetics to explore the inconsistency between the environmental laws and the message of the selected ecopoems, this study reveals that literature may be an important key to unlocking the solutions to the issue of environmental justice. Moreover, literature may serve as the unheard voice of the abused in the environment and may help pronounce the long-awaited verdict that the law cannot give to achieve environmental justice.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.043
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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Same venueAkda The Asian Journal of Literature Culture PerformanceSame topicSocioeconomic Development in AsiaFrench-language works237,207