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What to Read Now: Imagination and the Environment

2016· article· en· W2550398677 on OpenAlexaboutno aff
Pireeni Sundaralingam

Bibliographic record

VenueWorld Literature Today · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsMateriality (auditing)PoetryAestheticsIdiotArtLiteratureHistoryVisual artsArt history

Abstract

fetched live from OpenAlex

8 WLT NOVEMBER–DECEMBER 2016 Notebook Inanerainwhichwespendanincreasing number of our waking hours immersed in virtual and augmented realities, gliding across the two-dimensional surfaces of a placeless digital world, it is perhaps not too surprising that a significant number of writers are pulling away from the digital zeitgeist, preferring to call attention to an embodied sense of self within the threedimensional world. Blurring the figure-ground distinction between the individual and their environment , the following writers challenge us to embrace a more nuanced understanding of ourselves as biomass, our bodies components in a larger ecosystem. Joanna Klink Excerpts from a Secret Prophecy Penguin Joanna Klink is a radical cartographer. Addressing “you who once looked out of my eyes,” she maps the materiality of her body, its microscopic transformations, and ultimate transience. There is a ceaseless sense of sublimation in this collection as the poet oscillates from finely observed details to broader planetary concerns, stitching together a harrowing, ecstatic metaphysics. Soraya Peerbaye Tell: Poems for a Girlhood Pedlar Press A response to the 1997 assault and deliberate drowning of Canadian Reena Virk by fellow teenagers, these poems interrogate the language both of the court trials as well as the marshy terrain in which the murder took place. Peerbaye forces us to become intimate witnesses to the body’s desecration and subsequent decomposition as she unpacks the text of the autopsy, confronting us with the tender details of sinew and muscle disintegrating within water. The lines of the text break and jar, evoking the sense of an inert body resisting the flow of the tide; the brutal exchange between human and landscape becomes a stark meditation. This is an extraordinary study of race and violence parsed through landscape, where the murdered girl, local indigenous peoples, and the surrounding ecosystem are mapped and remapped through interleaved histories of environmental and colonial disruption. Lyanda Lynn Haupt The Urban Bestiary: Encountering the Everyday Wild Little, Brown Haupt asks us to consider “whose home we live in,” as humans and “wild” lives increasingly comingle within the city and the green spaces it swallows. She argues that it is time for a new bestiary—a cultural biology that is a lively conjunction of art and science, imagination and observation—if we are to discover more sophisticated ways to perceive and understand the multiple forms of intelligence with whom we share our cities, from coyotes and cougars to chickens and rats. Lucy Lippard Undermining: A Wild Ride Through Land Use, Politics, and Art in the Changing West The New Press Such radical reimagining can be applied not only to our cities but equally to the vast landscapes of the American West, a place so obscured by the claims and counterclaims of colonizing architectures, multinational mining interests, and millenia-old indigenous rights that, as Lippard argues, “new image wars must be waged.” Weaving together text and image, she explores how art and language frame our understanding of local environments to the point that our perception of the land and our use of it are inextricably intertwined. Pireeni Sundaralingam is a cognitive scientist and poet. Her poems appear in over thirty journals, including Ploughshares and American Poetry Review. A Climate Change Fellow at the Exploratorium in San Francisco, Global Salzburg Fellow, and lead strategist on human development for the United Nations Museum of Humanity, she is currently writing a book on poetry and the brain. what to read now Imagination and the Environment by Pireeni Sundaralingam ...

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)0.001
metaresearch head score (Gemma)0.003
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: Commentary · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.018
Scholarly communication0.0120.010
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.003

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 head0.005
GPT teacher head0.185
Teacher spread0.180 · 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
GenreCommentary

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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