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Record W4400400776 · doi:10.1080/09644016.2024.2375899

Net zero by 2050: the case for green industrial policy

2024· article· en· W4400400776 on OpenAlex
Bruno Arcand, James Meadowcroft

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

VenueEnvironmental Politics · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsCarleton University
Fundersnot available
KeywordsZero (linguistics)EconomicsNatural resource economicsPolitical scienceEnvironmental sciencePhilosophyLinguistics

Abstract

fetched live from OpenAlex

How does the goal of achieving net zero emissions by 2050 influence our understanding of green industrial policy? While industrial policy has moved to the forefront of climate debates, the literature provides conflicting messages about good practices for developing and implementing it effectively. By reviewing key theoretical perspectives informing research on green industrial policy and key reports that model a net-zero future, we argue that looking through a net-zero lens clarifies some of these debates and underscores the need for a politically sensitive understanding of the role of the state in the economy. This article contributes to the literature by taking a holistic perspective on the politics of green industrial policy and identifying promising policy guidelines in building a prosperous net zero economy by 2050.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
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 head0.085
GPT teacher head0.252
Teacher spread0.167 · 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