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Record W7106217388 · doi:10.5281/zenodo.17674733

A View of the Chemical Valley: Waste and Wasting in Jennilee Austria- Bonifacio's "The Outsiders"

2025· article· en· W7106217388 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)WastingGlobalizationPower (physics)Environmental justiceNeoliberalism (international relations)Scale (ratio)Ecological crisis

Abstract

fetched live from OpenAlex

This paper analyses “The Outsiders”, the sixth short story included inCanadian Jennilee Austria-Bonifacio’s 2023 collection Reuniting with Strangers, from theproductive juncture at the intersection of environmental and eco-social justice theories.With special attention to the local-international scale of globalisation processes, and thedefiance brought to light by the attempt at narrating eco-social violence, it is proposedfirst that the so-called Anthropogenic Great Acceleration, which chronologicallyencloses Filipinos’ first massive arrivals at Canada, also provides a context in which toweave a critical dialogue between turbo-capitalist ecological disposability and humandispensability within toxic neoliberal power structures. Secondly, it is argued that,within a general context of dynamic wasting relations, the story articulates a generalrepoliticisation of the current socio-ecological crisis in which a transnational alliancebased on sharing and caring reduces power asymmetries and provokes a collapse of thedualities scaffolding concepts like home and outsider to advocate instead their multiscalarrefiguration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.208
Teacher spread0.185 · 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.

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
Published2025
Admission routes1
Has abstractyes

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