Bibliographic record
Abstract
In this piece, we take up haunting as a spatial method to consider what geography can learn from ghosts. Following Avery Gordon’s theorizations of haunting as a sociological method, a consideration of the spectral offers a means of reckoning with the shadows of social life that are not always readily apparent. Drawing upon art installations in Brooklyn, NY, White Shoes (2012–2016), and Oakland, CA, House/Full of BlackWomen (2015–present), we find that in both installations, Black women artists perform hauntings, threading geographies of race, sex, and speculation across past and present. We observe how these installations operate through spectacle, embodiment, and temporal disjuncture, illuminating how Black life and labor have been central to the construction of property and urban space in the United States. In what follows, we explore the following questions: what does haunting reveal about the relationship between property, personhood, and the urban in a time of racial banishment? And the second, how might we think of haunting as a mode of refusing displacement, banishment, and archival erasure as a way of imagining “livable” urban futures in which Black life is neither static nor obsolete?
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 | 0.000 | 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 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".