MétaCan
Menu
Back to cohort
Record W1542025682 · doi:10.1596/1813-9450-6230

Green Growth - Lessons from Growth Theory

2012· book· en· W1542025682 on OpenAlex
Cees Withagen, Sjak Smulders

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

VenueWorld Bank, Washington, DC eBooks · 2012
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGreen growthGrowth theoryNatural resourceEndogenous growth theoryTechnical changeEconomicsOrder (exchange)Growth modelResource (disambiguation)Natural resource economicsEnvironmental economicsNeoclassical economicsMicroeconomicsSustainable developmentMacroeconomicsEconomic growthComputer scienceEcologyProductivity

Abstract

fetched live from OpenAlex

This paper reviews dynamic general
\n equilibrium models in order to collect insights on the
\n interaction between economic growth and environmental
\n issues. The authors discuss the Ramsey model and extend it
\n for natural resource inputs and pollution, as well as for
\n endogenous technical change. Green growth becomes within
\n reach if there is good substitution, a clean backstop
\n technology, a small share of natural resources in gross
\n domestic product, and/or green directed technical 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.387
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.008

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 head0.074
GPT teacher head0.246
Teacher spread0.171 · 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