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Record W4390691343 · doi:10.1080/08865655.2023.2301082

The Border Wall Imaginary at the End of the World

2024· article· en· W4390691343 on OpenAlexvenueno aff
Jenny Stümer

Bibliographic record

VenueJournal of Borderlands Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsThe ImaginarySovereigntySociologyHegemonyFantasyFraming (construction)AestheticsPolitical economyLawPolitical scienceHistoryPsychoanalysisPhilosophyPoliticsComputer sciencePsychology

Abstract

fetched live from OpenAlex

What can the border wall tell us about the end of the world? As anthropogenic violence fastens its grip, border walls have been increasingly flaunted as a way to mitigate fears about viral, ecological, and human invasion in the name of climate security. The paper suggests that border walls help stage investments in the end of the world that are steeped in a kind of anthropogenic “impasse of the present,” (Berlant, Lauren. 2011. Cruel Optimism. Durham: Duke University Press) while framing collective imaginaries about the future. Such walls visually perform an erroneous form of sovereignty that rescripts biopolitical continuity through the fantasy of hegemonic death and simultaneously shield their proprietors from the violent conditions of their own susceptible safety. The paper unpacks these tensions in terms of the entanglement between world ending fantasies, the affective modalities of walling and the continuation of colonial violence. Articulating precisely those defenses and openings that project what kinds of “worlds” and “ends” are imaginable in the first place, the wall as a material and symbolic medium gives form to apocalyptic anxieties as they leak into dominant cultural imaginaries and thereby helps to think through the links between crisis, security, and visual culture.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.376
Teacher spread0.349 · 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
Published2024
Admission routes1
Has abstractyes

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