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Record W4405331721 · doi:10.5772/intechopen.1003381

Contemporary Regional Planning Issues

2024· book· en· W4405331721 on OpenAlexaboutno aff

Bibliographic record

VenueSustainable development · 2024
Typebook
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsRegional planningEnvironmental planningRegional scienceGeographyPolitical scienceEngineeringUrban planningCivil engineering

Abstract

fetched live from OpenAlex

Regional planning aims to envision a better future for a region and proposes policies to achieve a desired vision of regional development. It encompasses various aspects of the human and biophysical environments, covering extensive geographical areas or jurisdictions with identifiable common characteristics. In this regard, this book offers a state-of-the-art examination of how contemporary regional planning challenges are addressed globally. It includes contributions from leading researchers and scholars in the field of regional planning from Canada, the USA, Israel, Indonesia, Turkey, and Norway. Based on empirical research, the book discusses a variety of topics, including how the relocation of Indonesia’s capital city could potentially resolve the country’s longstanding regional inequities and multidimensional conflicts; the intricacies of planning in contested cities and the dual role of urban planning in conflict resolution; how regional planning balances local autonomy and regional objectives; river basin development as a sustainable planning strategy for a port city; and positioning the Arctic landscape regions in the global system of growth and development. The book is insightful, thought-provoking, and easy to understand. It could serve as an essential reference material on contemporary regional planning for students, planners, NGOs, government officials and international institutions interested in regional development planning.

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 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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.052
GPT teacher head0.319
Teacher spread0.267 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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