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.
Bibliographic record
Abstract
This article investigates the work of mourning following the terrorist attacks in New York and Washington on September 11, 2001. Combining discussions of mourning, kitsch and sentimentality, I examine the perverse transformation of grief into patriotic nationalism. Linking Freud’s description of mourning as work with Derrida’s articulation of grief as ‘a work working at its own unproductivity’, I explore how grief has been paired with icons of American nostalgia, such as Norman Rockwell, as well as kitschy souvenirs from Ground Zero vendors, and, through this pairing, been transformed into a motive force for war. A central part of this operation, I argue, is the process of identification with the traumatic event. Identification, what Freud describes as a ‘binding force’, takes place across diverse fields - from White House speeches, to kitsch memorabilia made available immediately following the attacks. Identification with the event enables identification with the nation - an operation immediately reifying the official rhetoric of ‘Us against Them’ propounded by President Bush and his advisers. As grief over 9/11 is transformed into a perpetual rationale for war, that day becomes a new origin conveniently obliterating all that came before regarding the history of US nation-building and its own brand of terrorism.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it