Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".