Bibliographic record
Abstract
List of Contributors.Acknowledgements.1. Introduction (Graham Clarke and John Stillwell).PART 1: GEOBUSINESS2. Retail Applications of Spatial Modelling (Ken Jones and Tony Hernandez).3. Using Spatial Models to Solve Difficult Retail Location Problems (Mark Birkin, Graham Clarke, Martin Clarke and Richard Culf).4. Location-based Services for WAP Phone Users in a Shopping Centre (Antonio Camara and Antonio Eduardo Dias.5. Mass Appraisal and Noise: the use of Lifestyle Segmentation Profiles to Define Neighbourhoods for Hedonic Housing Price Mass Appraisal Models (Steve Laposa and Grant Thrall.PART 2: SOCIAL DEPRIVATION6. Target Clusters of Deprivation within Cities (Richard Harris and Paul Longley).7. Assessing Deprivation in English Inner City Areas: Making the Case for EC Funding for Leeds City (Paul Boyle and Seraphim Alvanides).8. GIS for Joined-up Government: the Case Study of the Sheffield Children Service Plan (Massimo Craglia and Paola Signoretta).9. The Application of New Spatial Statistical Methods to the Detection of Geographical Patterns of Crime (Peter Rogerson).PART 3: TRANSPORT AND LOCATION10. Modelling and Assessment of Demand-Responsive Passenger Transport Services (Mark Horn).11. The South and West Yorkshire Strategic Land-use/Transportation Model (David Simmonds and Andy Skinner).12. The Relocation of Ambulance Facilities in Central Rotterdam (Stan Geertman, Tom de Jong, Coen Wessels and Jan Bleeker).13. A probability-based GIS Model for Identifying Focal Species Linkage Zones across Highways in the Canadian Rocky Mountains (Shelley Alexander, Nigel Waters and Paul Paquet.PART 4: NATIONAL SPATIAL PLANNING14. Modelling Migration for Policy Analysis (Philip Rees, A. Stewart Fotheringham and Tony Champion).15. Modelling Regional Economic Growth by Means of Carrying Capacity (Leo van Wissen).16. Planning a Network of Sites for the Delivery of a New Public Service in England and Wales (Mike Coombes and Simon Raybould).17. New Methods of Assessing Service Provision in Rural England (Martin Frost and John Shepherd).18. Forecasting River Stage with Artificial Neural Networks (Pauline Kneale and Linda See).19. Undertaking Applied GIS and Spatial Analysis Research in an Academic Context (Robin Flowerdew and John Stillwell).Author Index.Subject Index.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.249 | 0.102 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".