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Record W7100562337

1 UNCONVENTIONAL ARTERIAL DESIGN Jughandle Intersection Concept for McKnight Boulevard in Calgary

2015· article· en· W7100562337 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicArgentine historical studies
Canadian institutionsnot available
Fundersnot available
KeywordsIntersection (aeronautics)BoulevardStakeholderProperty (philosophy)Traffic congestionStakeholder engagement
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT: A functional planning study was initiated along McKnight Boulevard by the City of Calgary in response to the growing traffic and peak hour congestion routinely experienced along the corridor. The objective of the study was to identify and define, the most suitable improvements for medium term (2015 horizon) and long-term (2038 horizon) traffic demands, while conforming to a large number of independent constraints. Numerous alternatives were identified, and in due course rejected, due to their inability to adequately address the project requirements or satisfactorily meet stakeholder needs. Ultimately, a conventional intersection design involving widening along the south side of the corridor and the jughandle intersection concept were short listed for further evaluation and comparison. These design alternatives were subjected to a relatively rigorous appraisal that included performance, signing, laning and signalization requirements, property impacts, access and transit requirements, safety considerations, human factors and environmental impacts to name a few. It was found that operationally, the jughandle intersection design has compelling application potential in high volume corridors where local access is required and full grade separation is impractical or too costly. However, the jughandle property acquisition requirements and resulting costs along highly urbanized corridors, combined with their limited implementation experience in North America, can preclude their use in less than optimum circumstances.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.434

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)0.0000.000

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 head0.140
GPT teacher head0.346
Teacher spread0.206 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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