Bibliographic record
Abstract
Responding to the set of dialogues on my original article, ‘Why a Radical Geography Must Be Anarchist?’, I throw my hat back in the ring and offer a blow-by-blow commentary on the sucker punches and low blows that some Marxists continue to want to throw at anarchism. In particular, I go toe-to-toe with the fallacious idea that Marxism remains the only viable politics on the left and demonstrate why anarchism is not only up to scratch, but in a world that continues to be marked by domination, as far as emancipation is concerned, anarchism is a heavyweight contender. While I pull no punches with the two Marxist pugilists, the remaining commentators are in my corner, and I welcome their thoughtful critiques by taking it on the chin. Yet rather than throw in the towel, I attempt to set the record straight by repositioning anarchism as an ethos that merges rebellion with reciprocity, subversion with self-management, and dissent with direct action, where the potential combinations are infinite. Anarchism is to be thought of, quite simply, as an attitude. When we remember this quality, without attempting to pin anarchism down to a particular set of commitments or distinct group of activities, we begin to recognize that anarchism can both float like a butterfly and sting like a bee. The reason for this multifarious character is because anarchism is not an identity but is instead something you do. Anarchism consequently has knockout potential to unite diverse strategies and tactics under the black flag of this radical political slogan. Insofar as the future of radical geography is concerned, anarchism has got the guts, the spirit, and the heart to go the distance. Let’s get ready to rumble!
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.031 | 0.011 |
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".