Bibliographic record
Abstract
Radical geographers have been preoccupied with Marxism for four decades, largely ignoring an earlier anarchist tradition that thrived a century before radical geography was claimed as Marxist in the 1970s. When anarchism is considered, it is misused as a synonym for violence or derided as a utopian project. Yet it is incorrect to assume anarchism as a project, which instead reflects Marxian thought. Anarchism is more appropriately considered a protean process that perpetually unfolds through the insurrectionary geographies of the everyday and the prefigurative politics of direct action, mutual aid, and voluntary association. Unlike Marxism’s stages of history and revolutionary imperative, which imply an end state, anarchism appreciates the dynamism of the social world. In staking a renewed anarchist claim for radical geography, I attend to the divisions between Marxism and anarchism as two alternative socialisms, wherein the former positions equality alongside an ongoing flirtation with authoritarianism, while the latter maximizes egalitarianism and individual liberty by considering them as mutually reinforcing. Radical geographers would do well to reengage anarchism as there is a vitality to this philosophy that is missing from Marxian analyses that continue to rehash ideas—such as vanguardism and a proletarian dictatorship—that are long past their expiration date.
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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.069 |
| Scholarly communication | 0.012 | 0.023 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".