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Record W4407117824

BOOK REVIEW - PHILIP MCCANN (EDITOR), INDUSTRIAL LOCATION ECONOMICS

2005· article· en· W4407117824 on OpenAlexaboutno aff
Daniela-Luminiţa Constantin

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryRegional scienceArt historySociology
DOInot available

Abstract

fetched live from OpenAlex

The book Industrial Location Economics published by Edward Elgar Publishing Limited is a highly relevant example in this respect. The Editor, Professor Philip McCann from the University of Reading, UK, a brilliant representative of the new generation of regional scientists, has succeeded in attracting around this subject internationally renowned scholars belonging to top universities form Austria, the Netherlands, UK, Italy, Canada, USA and Japan. They address a variety of topics concentrating on the spatial behaviour of individual firms and the growth and generation of industrial clusters and cities, offering an original, comparison and contrast-based combination of classical and more recent approaches to location analysis. A wide range of analytical techniques is employed – some of them being the authors’ contribution to enriching the investigation methodology of industrial location, that has made it possible to address the same issues from exciting, original perspectives. The excellent combination between theoretical knowledge and empirical testing, between traditional and modern approaches to industrial location economics as well as the clarity of the ideas expressed recommend this worthwhile book to both academics and students in geography, economics, management as well as to experts in institutions involved in regional and urban 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)0.002
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0420.001

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 head0.264
GPT teacher head0.459
Teacher spread0.195 · 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
GenreReview

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
Published2005
Admission routes1
Has abstractyes

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