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Record W7056735456

Geväret och Landskapet : Ekokritiska och Postkoloniala spår i The Rifles Naturgestaltningar

2023· article· en· W7056735456 on OpenAlexaboutno aff

Bibliographic record

VenuePublications (Mid Sweden University) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousState (computer science)Relation (database)White (mutation)Race (biology)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

This essay examines the 1994, Vollmann novel The Rifles through a postcolonial ecocritical lens. It answers the following questions: How is nature and landscapes depicted in The Rifles? How is the relationship between humans and nature portrayed, and how does this relationship differ among the characters in The Rifles? How does The Rifles represent the human exploitation of nature and the Canadian indigenous population? This essay uses the postcolonial ecocritical theories of Graham Huggan and Helen Tiffin, especially their ideas of “neocolonialism” and “the tourist and the native”. Another theoretical foundation for this essay is the theories of Timothy Morton in the book Dark Ecology, mainly the theory about “strange loops”. There isn’t a lot of previous research in this category, but Catherine Lanone has a similar idea, that The Rifles depicts nature in a state of decay. Lanone argues that this is white intrusion is the reason for the state of decay, while this essay argues that it is the technology of said intruders that is the reason for decay: the rifle. This essay shows that the rifle is starting point of the way the novel depicts nature. And that the relation between the rifle and nature is in a so-called strange loop. This essay also comes to the conclusion that the novel generally depicts two types of characters “the tourist” and “the native”, and that the way these two types of characters depicts nature differs, the tourists are naïve, while the natives are in a state of realist, melancholy-nostalgia.

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: Other · Consensus signal: none
Teacher disagreement score0.611
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.001

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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