Bibliographic record
Abstract
From the thawing of permafrost to the melting of polar ice caps, from the disintegration of sea ice to the disappearance of mountain glaciers, the changing material state of ice has direct consequences for rights-based thinking and action under the accelerated conditions of global warming. The “right to be cold” is one such provocation. \n \nThis demand, as it was popularly referred to, was dismissed by the Inter-American Commission on Human Rights in 2005 when Inuk activist Sheila Watt-Cloutier filed a petition “Seeking Relief From Violations Resulting from Global Warming Caused By Acts and Omissions of the United States” on behalf of herself and sixty-two Inuit people living in the Arctic regions of Canada and the USA. Yet the transformation of a thermostatic condition into a political and legal claim for “cold rights” has never been more urgent. Cold politics thus demands an engagement with a climatic sense of justice rather than a partitioning of rights. \n \nProduced as an introduction to the three COLD CASES focusing on the weaponisation of cold.
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 | 0.003 | 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 | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.164 | 0.043 |
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".