Bibliographic record
Abstract
In his seminal account of the production of space Henri Lefebvre argued that the triumph of abstract space involved a relentless privi-leging of visualization, an aggressive inscription of “phallic brutal-ity,” and a repression, even a “crushing” of the human body. For Lefebvre, significantly, this “space of calculations” first emerged in the years surrounding the First World War, and although he did not address it in any detail, modern war clearly exemplifies these trans-formations: an intensifying reliance on an optical-cartographic imagi-nary, an excessive capacity for spectacular, masculinized violence, and an exorbitant violation of the human body.2 But if we take Neil Smith’s injunctions about the (co-)production of nature seriously, the dialectic of modern war reveals a second narrative, in which what Lefebvre called “the practico-sensory realm,” comes to the fore. For in order to survive ground troops had to invest in modes of appre-hension that extended far beyond the visual; they remained not only vectors of military violence but also among its victims; and their bod-ies have to be comprehended as intensely physiological and affec-tive organisms.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.368 | 0.115 |
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".