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Record W3195653965 · doi:10.3389/fenvs.2021.642385

Path Dependency and Future Adaptation of Coastal Cities: Examples From the Asia-Pacific

2021· article· en· W3195653965 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

VenueFrontiers in Environmental Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsBrock University
FundersAustralian Research CouncilAustralian Government
KeywordsAdaptation (eye)Dependency (UML)Path dependencySustainabilityPoliticsDependency ratioPath (computing)Asia pacificClimate changeEconomic geographyEnvironmental resource managementKey (lock)Climate change adaptationPath dependenceGeographyEnvironmental planningPolitical scienceComputer scienceEconomySociologyEconomicsEcologyComputer securityPsychology

Abstract

fetched live from OpenAlex

The need for Asia-Pacific coastal cities to adapt effectively and sustainably to accelerating (relative) sea-level rise is growing. If such adaptation does not occur in a timely manner, then it could result in socio-economic problems that will reverberate throughout the region. Using examples of coastal Asia-Pacific cities that are characterised by contrasting geographical settings and cultural contexts, this study argues that the main barrier to such adaptation is path dependency. In this sense, path dependency is a legacy of past decisions that have been influenced by topography, economic goals, and the cultural-political characteristics of key decision-making groups. These path dependencies manifest as various adaptation preferences, which to date have been dominated by hard engineering solutions. In an era of accelerating climate change there is now a need to seek alternatives to in-situ urban growth. This paper argues that an understanding of a city’s path dependency is key to optimizing the effectiveness of future adaptation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.666

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.238
Teacher spread0.206 · 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