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Record W4391793651 · doi:10.51952/9781447369837-fm001

Front Matter

2023· paratext· en· W4391793651 on OpenAlexfundno aff
Adam Sheppard, T.N. Croft, Nick Smith

Bibliographic record

VenuePolicy Press eBooks · 2023
Typeparatext
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
FundersUniversity of BristolQueen's UniversityEuropean CommissionUniversity of the West of EnglandArts and Humanities Research CouncilQueen's University BelfastUniversity of Gloucestershire
KeywordsFront (military)GeographyMeteorology

Abstract

fetched live from OpenAlex

This book provides an introduction to urban and rural planning. It has a broad scope, covering the history, art and science of planning, the system of planning, governance and participation, and the profession itself. It provides the core information needed across the subject, with directions to further reading. The level of detail provided means that those seeking an insight only in association with a related subject will find the key information they need here. This book is designed to be readable, accessible, interesting and enjoyable to engage with. It gives the information and knowledge needed for students to develop their understanding of urban and rural planning. It does not assume any prior knowledge, and directs readers to resources where they can develop deeper knowledge after reading the book.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.232
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.120

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 head0.066
GPT teacher head0.355
Teacher spread0.289 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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