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Record W627832322

Getting That Old Transit Religion

2009· article· en· W627832322 on OpenAlexaboutno aff
Steve Berg

Bibliographic record

VenuePlanning · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaDowntownTransit (satellite)Investment (military)Public transportTransport engineeringRail transitQuarter (Canadian coin)BusinessPoliticsGeographyEngineeringPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Although Twin Cities metropolitan area has a reputation for good planning, its transit system is very limited. This article explains how this situation arose, and discusses how transit is beginning to grow in the region. In the 1950s, an extensive street railway system was demolished and freeways were built on a giant grid. Since many suburban residents had roots in rural areas, they regarded suburbs as independent places rather than as part of an interconnected metropolitan area. Political factors such as a reluctance to raise taxes and intercity arguments between Minneapolis and St. Paul regarding the potential rail line location, also doomed any efforts to overturn a 1985 legislative ban on rail transit in the state. However, growth in the downtown residential population is helping spur investment in transit. In 2008, a transportation bill was passed that included a sales tax hike to expand the area's lone light rail line into a full-scale transitway system with rail and rapid bus operations. The first commuter rail line will open in 2009. However, challenges remain. The cities will have to be transformed from their current automobile-focused regimes into a more integrated, efficient and balanced metropolis.

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 score0.076
Threshold uncertainty score0.290

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 head0.039
GPT teacher head0.319
Teacher spread0.280 · 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

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