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Record W2151484440 · doi:10.1177/1750698014558658

Poetry as monument: Jenny Holzer and the memorial poems of 9/11

2014· article· en· W2151484440 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMemory Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoetryPopularityScrollingMeaning (existential)LiteratureMandateHistoryArt historyArtLawPhilosophyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This essay argues for poetry’s memorial function. After the 9/11 attacks, poetry circulated widely in the United States. Explanations of the genre’s sudden popularity primarily focus on its comfort role—divorcing its role in private settings from its role in public ones. I suggest that poems be recognized as “technologies of memory” (Sturken), politically charged objects through which memories are produced and given meaning. I discuss an installation by conceptual artist Jenny Holzer featured in the rebuilt 7 World Trade Center that consists of 36 hours of poetry scrolling across a large LED screen; poems were selected on the developer’s idea that there only be “positive stuff, good stuff” at this historic site. The installation’s positive mandate reflects a shift, as previous critics have noted, in commemoration practices more generally toward an emphasis on hope and healing. I discuss how poetry affects and is affected by this shift. I read three poems written on the first anniversary of 9/11 (yet excluded from Holzer’s installation) that function as exemplary technologies of memory.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.798
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.060
GPT teacher head0.281
Teacher spread0.221 · 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