MétaCan
Menu
Back to cohort
Record W2249739136

ARTERIAL SPEED CALMING: MOHAWK ROAD CASE STUDY

2000· article· en· W2249739136 on OpenAlexaboutno aff
G Forbes, Tiffany K Gill

Bibliographic record

VenueTransportation research circular · 2000
Typearticle
Languageen
FieldEngineering
TopicTraffic control and management
Canadian institutionsnot available
Fundersnot available
KeywordsMohawkSpeed limitPercentileEnvironmental scienceDesign speedTransport engineeringEngineeringMathematicsComputer scienceStatistics
DOInot available

Abstract

fetched live from OpenAlex

Mohawk Road (Hamilton-Wentworth, Ontario, Canada) was an undivided two lane arterial with a 50-km/h speed limit, 85th percentile speeds of up to 70 km/h, and in need of rehabilitation. The adjacent land uses are low-density residential and open space. During the design phase, it was decided that additional lanes were not required, but that one of the design goals should be to effectively reduce travel speeds to 50 km/h without diverting traffic. An innovative design using a series of wide, short landscaped median islands (speed control medians) was employed, which reduced mean speeds and the percentage of drivers exceeding the speed limit in the treated section.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.416
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.301
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueTransportation research circularSame topicTraffic control and managementFrench-language works237,207