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Competition in Public Transport: An Exploratory Research in Institutional Frameworks in the Public Transport Sector

2019· article· en· W2991105268 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch Repository (Delft University of Technology) · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsCompetition (biology)Public sectorVariety (cybernetics)Private sectorPolitical scienceExploratory researchBusinessPublic relationsRegional scienceSociologySocial science

Abstract

fetched live from OpenAlex

This thesis finds its origins in the debates that developed in the 1980s in Western Europe as to the role competition and private entrepreneurship should play in the provision of public transport services. At the time, observation of the debates showed there was widespread misunderstanding about the institutional changes put in place and the results obtained. Against that background, the research in this thesis centred around gaining a deeper understanding of the variety of institutional frameworks that can exist in the public transport sector and on how these develop, with as main focus the growing and evolving role of ‘competition’ as an institutional feature that can take many guises. The main research questions are:<br/>(i) What are the main institutional frameworks that have arisen in the European public transport sector since the pressure for a wider usage of ‘competition’ appeared in the 1980s?<br/>(ii) How have these institutional frameworks fared since? In particular, what developments can be observed and what can be said about them?<br/>(iii) What are the main resulting policy challenges and options?

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.

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)0.003
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 score0.207
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.003
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.066
GPT teacher head0.262
Teacher spread0.197 · 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