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Record W603665539

City of Cambridge Bikeway Network Master Plan

2009· article· en· W603665539 on OpenAlexaboutno aff
S Noonan, Chelsea Marie Robertson

Bibliographic record

Venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE · 2009
Typearticle
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsMaster planPlan (archaeology)RecreationCyclingTransport engineeringPromotion (chess)Environmental planningBusinessGeographyEngineeringPolitical scienceForestry
DOInot available

Abstract

fetched live from OpenAlex

The City of Cambridge is one of the fastest growing and strongest economic areas in Canada with a population of over 125,000 people. It is strategically located within Waterloo Region on both sides of Highway 401 in southwestern Ontario. With a view to promoting sustainable transportation, City of Cambridge Council approved a 20-year Bikeway Network Master Plan in the spring of 2008. It recommended that an additional 112 km of cycling facilities be added to the existing 48 km of on-road cycling facilities. The network focuses on integration with Waterloo Region's Cycling Network and the City's off-road trails, to provide a viable alternative to motor vehicle usage for commuters, in addition to supporting recreational cycling. The Master Plan also recommended a wide range of policy and land use planning initiatives to ensure that future growth will facilitate improved transportation demand management. Implementation of the plan began in the fall of 2008. The paper will focus on the development of the 20-year Bikeway Network Master Plan, the challenges encountered, and the strategies within the plan for the design, funding, implementation, maintenance, and promotion of cycling routes and facilities in the City of Cambridge.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.995

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.203
Teacher spread0.187 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGESame topicUnderground infrastructure and sustainabilityFrench-language works237,207