Bibliographic record
Abstract
Abstract: This article is a manifesto for anarchist geographies, which are understood as kaleidoscopic spatialities that allow for multiple, non‐hierarchical, and protean connections between autonomous entities, wherein solidarities, bonds, and affinities are voluntarily assembled in opposition to and free from the presence of sovereign violence, predetermined norms, and assigned categories of belonging. In its rejection of such multivariate apparatuses of domination, this article is a proverbial call to non‐violent arms for those geographers and non‐geographers alike who seek to put an end to the seemingly endless series of tragedies, misfortunes, and catastrophes that characterize the miasma and malevolence of the current neoliberal moment. But this is not simply a demand for the end of neoliberalism and its replacement with a more moderate and humane version of capitalism, nor does it merely insist upon a more egalitarian version of the state. It is instead the resurrection of a prosecution within geography that dates back to the discipline's earliest days: anarchism!
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.069 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".