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Record W4388668481 · doi:10.1386/miraj_00103_1

Countering colonial nostalgia and heroic masculinity in the age of accelerated climate change: The Arctic artworks of Katja Aglert and Isaac Julien

2023· article· en· W4388668481 on OpenAlexaboutno aff
Lisa E. Bloom

Bibliographic record

VenueMoving Image Review & Art Journal (MIRAJ) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismNarrativeSublimeWhite (mutation)MasculinityHistoryArtAestheticsLiteratureArt historySociologyGender studiesArchaeology

Abstract

fetched live from OpenAlex

This article explores two screen-based artworks: Katja Aglert’s Winter Event – Antifreeze (2009–18) and Isaac Julien’s True North (2004) respectively, that exemplify diverse viewpoints contesting the essentialized identities of the Arctic past. These artworks recover the histories of women, the Inuit and African American men’s involvement in polar exploration, reimagining heroic narratives from historically excluded or ignored perspectives. By employing irony and humour, these artworks expand our understanding of how media-based art can respond to the ironies of a warming planet and challenge colonial nostalgia for White male heroism. The artworks traverse not just the human imperialism of the colonial era but also the newer imperialism in the age of the Anthropocene and the Capitalocene, decentring the mythic and exotic qualities of expedition narratives. Ultimately, the irreverent artwork encourages us to rethink an aesthetics of the distanced sublime from Romantic aesthetics and its roots in European Universalism, promoting a more inclusive and intersectional approach to the Arctic and its representation.

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.042
GPT teacher head0.315
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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