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Record W2299628922 · doi:10.14288/1.0093014

Mega-projects in the making : a century of transportation infrastructure investment in Vancouver, Canada

2010· article· en· W2299628922 on OpenAlexaboutno aff
Matti Siemiatycki

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMega-Transportation infrastructureInvestment (military)Transport infrastructureBusinessTransport engineeringFinanceRegional scienceEconomyEngineeringEconomicsGeographyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Mega Projects in the Making explores why the development of infrastructure megaprojects have dominated the urban transportation landscape in Vancouver for over a century, even as such projects have repeatedly failed to meet the public interest for a regional transportation system that is efficient, competitive, equitable, and environmentally sound. Through a multidisciplinary approach that presents specific transportation investment decisions as historically contingent, path dependent, and the product of both individual agency and institutional structures, the decision to consistently favour large-scale projects is situated within the context of the Vancouver region’s spatial, economic, social, environmental and political history. Within this context, it is shown that choices made by a densely interconnected group of decision makers in the early stages of each planning process effectively locked in decisions on the scale of the projects, the route, technology and service delivery mechanisms. The decisions of these individuals were patterned by their own self-interest and pressure from specific interest groups, the institutional norms, traditions and laws that regulated their actions, and also the evolving desires of the general public to see solutions to what has long been perceived to be a worsening urban congestion problem. In this sense, it is illustrated that when problems such as urban congestion are constructed as being mega in scale with significant negative externalities, they legitimize the quest for mega scale solutions. At the same time, large-scale transportation projects are developed for reasons that are beyond the movement of people, and include symbolic messages related to intercity competitiveness, urban progress, visionary leadership and the cultivation of an all-round positive image that can catalyze further investment. When viewed in its entirety, Mega Projects in the Making is more than a project concerned with approaches to congestion relief or mega-project development; it is an examination of the tangible, political and symbolic forces that direct urban change.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.974

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0280.007
Scholarly communication0.0090.001
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.003
GPT teacher head0.138
Teacher spread0.134 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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