Inhabiting grey space and unravelling bodily outlines
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 paper examines the competing ‘languages’ of line in Julie Mehretu’s series, Grey Area (2007–9) and elaborates on the implications these lines have for theories of space, bodies and, in particular, the relationship between the two. Grey Area explores what Mehretu describes as a grey and in-between space. The series is composed of seven large abstract canvases covered in an assortment of gestural tracings and neatly traced rational lines (e.g. architectural lines). The juxtaposition of these competing linely narratives not only creates a grey space visually, but compels viewers to stretch their bodies across the canvases and between the lined layers thus, facilitating a brief inhabitance of grey space. Building from this analysis, the paper reflects on the relevance of the lines and the stretching they elicit for examining the complexities of contemporary modes of inhabitation that often extend across multiple geographical sites and temporal modes. Thus, engaging with Mehretu’s lined abstractions draws attention to the importance of space in the production of bodily boundaries, what I call geographical and temporal bodily outlines. In addition to contributing to body-space theories, the paper also demonstrates the valuable insights gained by attending to the unique social-aesthetic analyses of visual art and artists.
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 | 0.000 | 0.001 |
| 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