Bibliographic record
Abstract
tells us her book is about how 9/11 has been visually remembered.As such, she traverses the terrain of ghosts, memory and history.At the outset Engle draws from Angela Carter's novel, Nights at the Circus, detailing the story of an enterprising nineteenth century medium-photographer-con-artist who invites grieving relatives to séances with the promise of conjuring images of their recently departed child.A hazy image of a young girl appears in the séance, and the artist obliges the relatives with a photograph of an alternate child, Mignon, whom parents all too eagerly embrace as a true image of their beloved.Engle invites us to consider a similar function being performed by the twin towers in the years since 9/11."Just as Mignon becomes detached from her own bodily context, circulating through the narratives, memories, hopes, and fears of others, the twin towers have been bidden to stand in for any number of causes and losses over the past seven years" (p.8).It is the task of Seeing Ghosts, to trace these "spectral emergences" (p.8).
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 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 | 0.002 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".