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Record W2614000265

Governance schemes for major public investment projects: A comparative study of principles and practices in six countries.

2016· book· en· W2614000265 on OpenAlexaboutno aff
Knut Samset, Gro Holst Volden, Nils O.E. Olsson, Eirik Vårdal Kvalheim

Bibliographic record

VenueBIBSYS Brage (BIBSYS (Norway)) · 2016
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceInvestment (military)BusinessPublic administrationPolitical scienceAccountingRegional scienceFinanceGeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

This report compares the Norwegian scheme for quality assurance of major public projects, also referred to as the State Project Model, to similar schemes in five other OECD countries, i.e. Denmark, Sweden, the Netherlands, the UK and Canada (Quebec). The schemes have many features in common – all of them were introduced after the turn of the millennium and place governance responsibility at a high level in the political system. There are also a number of differences, for example with regard to who performs quality assurance, the delineation between technical matters and politics, as well as the scope of such schemes. The study shows that Norway and the Nordic countries have opted for schemes that are fairly simple, with intervention points in the front-end phase only and not during implementation, unlike the other countries. The study is primarily an overview, and it is too early to say anything about the effects of the other schemes, which are more recent than the Norwegian scheme.

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)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.129
GPT teacher head0.323
Teacher spread0.194 · 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 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

Citations14
Published2016
Admission routes1
Has abstractyes

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