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Record W7068912888

COLD RIGHTS

2022· other· en· W7068912888 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGoldsmiths (University of London) · 2022
Typeother
Languageen
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsCommissionState (computer science)Economic JusticeCold warArcticGlobal warmingAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

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.
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\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.
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\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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.223
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0910.000

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.

Opus teacher head0.034
GPT teacher head0.273
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it