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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 OpenAlex
Rina Garcia Chua

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
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