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Record W7094350491

Past perspectives

2003· other· W7094350491 on OpenAlexaboutno aff

Bibliographic record

VenueHuman Biology · 2003
Typeother
Language
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPatriotismDocumentationSpanish Civil WarExpression (computer science)BroadsideSelection (genetic algorithm)Hegemony
DOInot available

Abstract

fetched live from OpenAlex

War posters constitute an enormous cache of primary documentation that has been largely unresearched. Their significance in portraying the cultural impact of the war has perhaps been consequently overlooked. This dissertation is, primarily, an analysis of the content, imagery and evolution of a broad selection of Great War posters from England, Canada, the United States, France and Germany. Of particular concern are those characteristics that are integral to the understanding of a new cultural mode here defined as modernism. By tracing the expression of these characteristics and the frequency of their recurrences within the poster record, the present study develops a general assessment of the conflict between elements of traditional and modernist popular culture. The protracted and unprecedented conflict of the Great War led to manifest societal change. Many of the dominant and widely-held popular conceptions of soldiering, warfare, gender roles, religion, patriotism and violence were irrevocably altered. Various poster artists and graphic designers incorporated their changed views of these issues in their depictions. The later works of the artists and designers constituted visual broadsides which indicated the ascendancy of a darkly negative strain of modernism, over traditional, Edwardian representations. Through the examination of western Great War posters housed in various archives, this study delineates some of the forces, processes and examples of a fundamental shift in twentieth-century cultural attitudes.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.5360.192

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 head0.240
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

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
Published2003
Admission routes1
Has abstractyes

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