Not now? Feminism, technology, postdigital
Bibliographic record
Abstract
‘Ours is a world that is both everywhere and nowhere, but it is not where bodies live’ — so said John Perry Barlow in the 1990s Declaration of the Independence of Cyberspace, which diagnosed and made demands around a new reality. A quarter of a century later, in the era of the quantified self, in which computational devices and bodies intertwine to measure the human day and co-constitute the world in which we live, it is clear that something has changed. This change concerns the materialization of bodies, a classic feminist preoccupation, as well as the materials of technology — ours is a world that is everywhere and nowhere, in which bodies are redistributed through a technological economy. But the sense of distance this change engenders applies not only to the matter-free and invulnerable lives Barlow glimpsed in the 20th-century net,1 but to the early 21st-century web (pre/post-9/ll) and later; even voices celebrating the social in the Web 2.0, or the pre-Snowden era, sound distant now.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.006 |
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".