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Record W827841679

Ipswich walks away from 1960s

2005· article· en· W827841679 on OpenAlexaboutno aff
S Cumberbatch

Bibliographic record

VenueSurveyor magazine · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsPedestrianCarriagewayTransport engineeringBus priorityRing roadPlan (archaeology)Public transportPopulationSignageQuarter (Canadian coin)Work (physics)Control (management)Pedestrian crossingEngineeringTelecommunicationsComputer scienceBusinessGeography
DOInot available

Abstract

fetched live from OpenAlex

Suffolk County Council, UK, has plans for a �15M package to improve pedestrian and cycling facilities and bus services with a comprehensive urban traffic management and control (UTMC) system. The plans are needed to increase the capacity of the town's roads to meet the expected increase in population. The 1960s inner-ring road is approaching capacity on many sections at peak periods. The plan is to extend the current bus loop eastwards, allowing Upper Brook Street, the main thoroughfare, to be pedestrianised. The two current bus stations will be upgraded and improvements will be made to bus corridors and bus priority with the aim of increasing public transport usage by 30-40%. The new UTMC could reduce traffic volumes by directing drivers into free car parking spaces whilst giving bus priority at problem junctions. Work is beginning on three interconnected streets in the 'Ipswich Village' quarter to encourage more careful driving and greater pedestrian use. White lines, signs, double yellow lines and pedestrian guardrails will be removed and new lighting will be provided. The colour, texture and layout of the carriageway materials will emphasise the change in environment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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 designObservational
Domainnot available
GenreEmpirical

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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