Bibliographic record
Abstract
Responding to David Harvey’s critique of my article, ‘Why a Radical Geography Must Be Anarchist’, I reiterate the importance of anarchist perspectives in contemporary politics and geographical praxis. In challenging Harvey on the limits to Marx, I urge him to think again about the hidden vanguardism, implied statism, and veiled hierarchy that continue to lurk within the Marxist project, and importantly how these specters constrain both our collective political imagination and the possibilities of radical geography. I am admittedly very critical of Harvey, but I nonetheless refuse to close the door on dialogue between the Black and Red, even in the face of ongoing Marxist ridicule of anarchist politics. Accordingly, I propose an agonistic embrace of a ‘postfraternal’ or ‘postsororal’ politics on the left, where we come to appreciate ongoing conflict as a sign of a healthy leftist milieu. In doing so, we can move beyond the misguided idea that all disagreements over strategies, tactics, and organizing methods will ever be resolved. Ultimately, what I have dubbed ‘the condition of postfraternity’ keeps us alert to the continually unfolding possibilities of a thoroughly politicized and forever protean space. By embracing this shifting horizon, not as a static limit to our politics but as a beautiful enabler of visionary possibilities, the rhizomes of emancipation grow stronger.
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.084 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".