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Record W4409133760 · doi:10.4000/13ofv

As Long as There Were Any Roads to Amnesia and Anaesthesia Still to be Explored: Contemporary Artistic Reflections on the Intertwined Memories of British Imperial History, Trees and Place

2025· article· en· W4409133760 on OpenAlexaboutno aff
Laura Ouillon

Bibliographic record

VenueAngles · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsAmnesiaHistoryAestheticsPsychologyArtCognitive psychology

Abstract

fetched live from OpenAlex

This article critically examines contemporary art installations by two British artists responding to two major memory sites of British imperial and national history: 1) Trafalgar Square, one of the biggest squares in central London, a former imperial crossroads, surrounded by Canada House and South Africa House and only steps away from Admiralty Arch, the former official residence of the First Sea Lord ; and 2) Tate Britain, a gallery dedicated to the showcasing of national art, named after, founded and funded by Sir Henry Tate (1819-1899), an English millionaire philanthropist whose wealth derived from the industry of sugar refinery. Seven ancient English oaks made up Anya Gallaccio’s as long as there were any roads to amnesia and anaesthesia still to be explored (2002), while Angela Palmer’s public work, Ghost Forest (2009), showcased ten giant exotic stumps imported from a former British colony, Ghana. Both installations exhibited the bodies of dead trees as their main physical, symbolic and ideological material to activate and reflect on the collective memory of the British Empire, whose expansion long relied on timber production, including for shipbuilding. Drawing from memory studies, postcolonial studies and ecocritical art history, the article probes the intertwining of the repressed memories of British imperial environmental history, trees and place in these two artworks which both stage collective mnemonic experiences articulating Britons’ conflicted relationships with their own past.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.996

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 studies0.0000.000
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 head0.037
GPT teacher head0.307
Teacher spread0.270 · 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 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
Published2025
Admission routes1
Has abstractyes

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