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Record W4200295403 · doi:10.4000/mimmoc.10045

Visualising conflicts. An exploration of Canadian artist Mary Riter Hamilton’s paintings: herstory of the war

2021· article· fr· W4200295403 on OpenAlexaboutno aff
Hanene Zoghlami

Bibliographic record

VenueMémoire(s) identité(s) marginalité(s) dans le monde occidental contemporain · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingPatriotismBiographyInterpretation (philosophy)HistoriographyTheme (computing)MirroringAestheticsRealismRealmValue (mathematics)LiteratureArtHistoryVisual artsPhilosophyPsychologyLawPoliticsSocial psychology

Abstract

fetched live from OpenAlex

This study is an attempt to probe into the value of paintings as historical evidence by locating the investigation in the realm of history from below. The article suggests a new reading of Canadian artist Mary Riter Hamilton’s immediate post-war paintings and their significance in mirroring her take on the war by exploring details of her life based on her biography. I transcend the literal iconographical interpretation of her images and attempt to delve into the ambivalent angle of the painter’s psychological impact on her works of art which was largely under-acknowledged in the recent historiography. The paper tackles the main problematic of how the conscious and unconscious in Hamilton’s paintings are yoked to create a visual historical text. It is argued that War Material’s, Sanctuary Wood, Flanders’ and Albert (Somme) Route d’Amiens’ connotations are more complex than solely representing the historical aftermath of the global conflict or the inter-war sentiments of sacrifice, victimhood, patriotism and commemoration. This investigation goes beyond these dimensions. It is anchored around one key theme of aesthesiology by tapping into the paintings through the prism of emotion. I examine the sub-themes of fear, anxiety and trauma which are the common denominator in the three paintings.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.264
Teacher spread0.212 · 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
Published2021
Admission routes1
Has abstractyes

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