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Traditional war memorials and postmodern memory

2000· dissertation· en· W251074 on OpenAlexaboutno aff
Susan Elizabeth Hart

Bibliographic record

VenueAORN Journal · 2000
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPostmodernismIdeologyContext (archaeology)HistoryMeaning (existential)NationalismAestheticsSociologyLiteratureLawArtPoliticsPolitical scienceEpistemologyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

War and how it is remembered are still timely and significant subjects for many Canadians as witnessed by the recent ceremony to mark the reburial of Canada's Unknown Soldier in the newly completed tomb at the base of the National War Memorial in Ottawa. Although literature on Canadian war memorials is plentiful, the memorials have been primarily discussed in terms of their production and meaning within an historical context. As we enter a new millennium, it is time to look at our abundant heritage of twentieth-century war memorials through a new lens, a lens which does not seek to document or decode, but rather seeks to examine the relation of traditional war memorials to the present time and to discuss them in terms of postmodernism in order to consider the following question: Can our traditional twentieth-century war memorials be meaningful memory markers for the twenty-first century? Barbara Steinman's Cenotaph (1985-86) acts as a nucleus from which discussion radiates outward, and through a series of chapters that address the interrelated issues of form, function and ideology, a theory of postmodernism in the context of war memorials is developed. Chapter Two looks at how traditional and postmodern monuments differ in their use of formal elements including text. Chapter Three considers the ways in which monuments function: as permanent installation; as ephemeral entities such as temporary, traveling, or disappearing installations; and as sites of performance, both ritual and interventionist. Chapter Four discusses the ideologically intertwined constructions of nationalism, race and gender in traditional and postmodern monuments, before wrapping up the discussion in the final chapter.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.037
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.252
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2000
Admission routes1
Has abstractyes

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