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Record W3088306154 · doi:10.1177/0959680120951684

Future conditional: From just transition to radical transformation?

2020· article· en· W3088306154 on OpenAlexaff
Linda Clarke, Carla Lipsig-Mummé

Bibliographic record

VenueEuropean Journal of Industrial Relations · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsTransformative learningDilemmaContext (archaeology)ScholarshipModernization theoryEconomic systemGovernment (linguistics)Political sciencePolitical economyEconomicsBusinessSociologyEconomic growth

Abstract

fetched live from OpenAlex

Within the context of an accelerating climate emergency, the introduction frames the strategies and actions adopted by labour and unions to reduce carbon emissions that are presented in the articles contributing to this special issue. Industrial relations scholarship, which has been slow to address the climate emergency, has focussed on the jobs versus environment dilemma, the role of unions, technical innovation versus social unionism, and just transition approaches. While labour and union approaches in different sectors across Europe are largely confined to variants of ecological modernization, a more proactive transformative strategy opening up an alternative eco-socialist vision for the future is emerging. The issue highlights the contradictions in union strategies, the drivers of change and the way forward in pursuance of a green economy through a focus on the roles of government and the public sector, the organization of labour and the labour process, and education and training.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.017
Scholarly communication0.0090.013
Open science0.0010.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0140.001

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 head0.061
GPT teacher head0.290
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations73
Published2020
Admission routes1
Has abstractyes

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