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Record W2609149175

Just Transitions Law: Putting Labour Law to Work on Climate Change

2017· article· en· W2609149175 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsYork University
Fundersnot available
KeywordsLabour lawNormativeEnvironmental lawPolitical scienceLawWork (physics)Field (mathematics)Climate changeLaw and economicsPolitical economySociologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Climate change will dramatically affect labour markets, but labour law scholars have mostly ignored it. Environmental law scholars are concerned with climate change, but they lack expertise in the complexities of regulating the labour relationship. Neither legal field is equipped to deal adequately with the challenge of transitioning to a lower carbon economy and the effects of that transition on labour markets, employers, and workers. This essay considers whether a legal field organized around the concept of a ‘just transition’ to a lower carbon economy could bring together environmental law, labour law, and environment justice scholars in interesting and valuable ways. “Just transitions” is a concept originally developed by the North American labour movement, which has since been endorsed by important global institutions including the International Labour Organization, the UNFCCC, and the U.N. Environmental Program. Although ‘just transitions’ has received considerable policy attention, it has been under-explored by legal scholars. This paper marks an early contribution to this challenge. It explores the factual and normative boundaries of a legal field called Just Transitions Law and considers whether such a field would offer any new, valuable insights into the challenge of regulating a response to climate change.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.030
GPT teacher head0.265
Teacher spread0.235 · 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