Bibliographic record
Abstract
Two phrases haunt my thinking.The first comes from Fred Moten: all black life is neurodiverse life.It might also have been black life is always neurodiverse life.The second is approximation of proximity.The feeling is that the ambiguity of memory in the first has a connection to the approximation of the second.Moten's words, written in a manuscript review before the publication of The Minor Gesture in 2016 felt vitally important when I received them.But The Minor Gesture was already too close to completion to fully carry the force of the proposition, and so, while I did signal it in the book, I decided to make Moten's words the fugitive force of the thinking to follow.I say fugitive force both to carry forward Moten and Harney's concept of fugitivity, and to emphasize that this is how work comes into itself: with the quality of a reorientation moved by a spark that connects to an intensity already moving transversally across a work.This is what Moten's words did: their deep thinking-with exposed the stakes of what stirred as yet unthought in the thinking.This fugitivity at the heart of thought is what I want to address here.For what Moten's words did at that singular moment of writing/thinking was create an opening for thought to travel in directions as yet in germ.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.780 | 0.682 |
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".