Making space for the human: Rights, the Anthropocene and recognition
Bibliographic record
Abstract
This article addresses the tension between two expressions of post-war spatiality. It was the aim of the Universal Declaration of Human Rights, the article observes, to achieve a formulation of the human from which no person might fall out. At the same time, as the category of the human as attribute of persons struggled to extend itself, so the effects of the so-called Anthropocene became greatly accelerated. The article argues that these forms of spatiality must be thought in relation to one another. It contends that to understand the degree to which the Universal Declaration was spatial in its understanding, it is necessary to read that document alongside such post-war writers as Charles Olson and Hannah Arendt. It considers how far, in various post-war geopolitical imaginaries, one finds resources for thinking about human movement in our own moment, and how such thinking can address the Anthropocene and its still accelerating effects.
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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 | 0.004 | 0.005 |
| 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 | 0.076 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".