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Record W2142000720 · doi:10.5539/jsd.v6n3p1

Initiatives of Global Cities in Environmental Sustainability: A Case of London and New York City

2013· article· en· W2142000720 on OpenAlex
Abu M. Sufiyan

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Sustainable Development · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Ecological Systems Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityGovernment (linguistics)Local governmentGlobal cityGreenhouse gasUrban sustainabilityGlobal warmingPoliticsClimate changeSustainable developmentPolitical scienceEconomic growthEnvironmental planningRegional scienceGeographyPublic administrationEconomicsEcology

Abstract

fetched live from OpenAlex

As global cities are the financial centers of globalized economy, they have attained much attention from global communities concerning local initiatives on environmental sustainability. Many global cities are vulnerable to global warming and adversities of climate change. In the United States, many cities and local government, including New York City, are taking their own initiatives to reduce greenhouse gas emission, whereas European cities are built historically with compact nature which is more sustainable. This study conducts a comparative analysis on local sustainability policies in New York City and London and focuses on the efficiencies of the initiatives taken by these cities. The comparative analysis reveals that there are more similarities than differences between London and New York City in regards to sustainability goals. However, approaches toward achieving sustainability goals are different in London and New York City due to dissimilarities in geography, local cultures, and diverse environmental politics. In conjunction with the government regulations, behavioral change of the citizens is also pivotal for achieving sustainability outcomes in global cities.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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