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Record W2040358674 · doi:10.1080/02589001.2013.747292

The Gautrain project in South Africa: a cautionary tale

2013· article· en· W2040358674 on OpenAlexaff
David P. Thomas

Bibliographic record

VenueJournal of Contemporary African Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsMount Allison University
Fundersnot available
KeywordsMegaprojectPoliticsPlan (archaeology)Project managementBusinessPolitical scienceEconomicsPublic administrationLawManagement

Abstract

fetched live from OpenAlex

This article analyses the recently completed Gautrain Rapid Rail Project in the province of Gauteng, South Africa. The Gautrain is the continent's first high-speed rail project, and constitutes an important case in transportation megaproject planning. The article discusses the potential merits and limitations of the project, and ultimately argues that several key problems with the Gautrain should provide readers with a cautionary tale regarding such endeavours. Benefits to the project, such as reduced traffic congestion and job creation, must be weighed against the social and political implications of the project. Thus, the article discusses the following potential problems with the project: it may deepen mobility-related exclusion in the province; it prioritizes wealthy, as opposed to poor, citizens in the allocation of public funds; costs for the project have escalated considerably from initial estimates; and other options for a more effective and integrated transportation plan were not sufficiently considered. This case study conforms to what scholars call the megaprojects paradox in significant ways, and suggests that more rigorous and transparent debate should precede the approval of such projects.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.082
GPT teacher head0.330
Teacher spread0.248 · 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 designQualitative
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

Citations34
Published2013
Admission routes1
Has abstractyes

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