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Record W3092103011 · doi:10.1093/isle/isaa077

Novel Contributions to Ecocritical Thought: Re-cognizing Objects through the Works of Amitav Ghosh

2020· article· en· W3092103011 on OpenAlex
Justyna Poray-Wybranowska, Tyler Scott Ball

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueISLE Interdisciplinary Studies in Literature and Environment · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNarrativeAestheticsPower (physics)Face (sociological concept)Ecological crisisHistorySociologyClimate changeEnvironmental ethicsLiteraturePhilosophySocial scienceEcologyArt

Abstract

fetched live from OpenAlex

In his polemic The Great Derangement (2016), Amitav Ghosh considers our collective inability to engage with climate change in a meaningful way. He argues that the climate crisis is at its core a crisis of the imagination, presenting our failure to recognize human impacts on the environment as rooted in our difficulty imagining the sheer scale and urgent nature of the problem (Ghosh, The Great Derangement 7). He attributes this imaginative failure in part to the fact that contemporary fiction seems incapable of convincingly representing the effects of climate change. Despite their perceived improbability, climate change impacts, such as rising sea levels and increasingly frequent extreme weather events, are overwhelmingly affecting communities that depend on the environment for their survival. Other-than-human actants are making their presence known in our daily lives with increasing force.1 Ghosh acknowledges this reality and echoes Donna Haraway’s call to begin thinking more seriously about our “barely possible but absolutely necessary joint futures” (Haraway, The Companion Species Manifesto 7). He believes fiction has a crucial role to play in the climate crisis, and many contemporary scholars agree: “The power of story is particularly significant. Our sense of reality, our understandings of who we are and of our relationships with our surroundings, generally are constructed around stories, not around quantitative data” (Thornber 5; see also Buell vi; Morton 9; DeLoughrey et al. 9–10). In The Great Derangement, Ghosh considers how narrative might provide the means to better face present ecological conditions and identifies recognition as an important part of this process. He takes recognition to signal two separate, though interconnected, phenomena: the experience of being struck by a realization through an act of observation and the cognitive shift that may occur as a result. In this regard, recognizing can lead to re-cognizing. We ask whether narrative fiction might help us to make this transition and re-cognize the lively relationships between humans and nonhumans, biotic and abiotic entities.2

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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.832

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.038
GPT teacher head0.304
Teacher spread0.266 · 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