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Record W3004437040 · doi:10.4000/poldev.3271

The Use of Public-Private Partnerships (PPP) by a Local Authority: the Case of the Koudougou Bus Station in Burkina Faso

2019· article· fr· W3004437040 on OpenAlexaff
Jean-Pierre Salambéré

Bibliographic record

VenueInternational development policy/Revue internationale de politique de développement · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsBusinessLocal authorityPublic authorityPublic administrationPublic transportTelecommunicationsTransport engineeringPolitical scienceEngineering

Abstract

fetched live from OpenAlex

In Burkina Faso, public-private partnerships (PPP) have been favoured by political actors for some years now. This investment model is put forward by the government as an alternative source of financing for infrastructure and public services.In Koudougou municipality, located in the west-central region of the country, a management model for a bus station involving public and private actors has been set up. This is a first for this municipality, which co-financed the realization of this infrastructure with the support of the Swiss Cooperation. To ensure the station’s full functionality, the town hall invited transport companies to invest in the station to set up a base for their activities there. Private companies responded to this management offer with varying degrees of success.This article is based on the study of this case, with the aim of identifying the difficulties encountered and the risks related to the PPP management processes for the various actors, in particular the operational and financial risks, and the legal and political risks. Based on the achievements and limitations observed in Koudougou, the article suggests several lessons for improving the management of a collective infrastructure involving a PPP.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.104
GPT teacher head0.346
Teacher spread0.242 · 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.

Study designNot applicable
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

Citations1
Published2019
Admission routes1
Has abstractyes

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