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Record W6907145078 · doi:10.20372/nadre/3735

ASSESSING THE LEVEL AND IMPACT OF COORDINATION AMONG UTILITY INFRASTRUCTURE PROVIDING SECTORS THE CASE OF ADDIS ABABA CITY

2019· article· en· W6907145078 on OpenAlexaboutno aff

Bibliographic record

VenueNational Academic Digital Repository of Ethiopia · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityPopulationService providerUrbanizationEnforcementQuarter (Canadian coin)Service (business)Economic shortage

Abstract

fetched live from OpenAlex

In today world’s Ethiopia is among the fast urbanizing country. The capital city, Addis Ababa, has a population of about 4 million, close to one quarter of the urban population in the country. In recent years urbanization has attained unprecedented levels of growth in the development and expansion of Addis Ababa. This study was conducted in Addis Ababa City Administration, entitled “Assessing the level and impact of the lack of coordination among utility infrastructure provider sectors in Addis Ababa City”. To achieve the above objective, the study used both qualitative and quantitative methodology and relevant data for the study were gathered from primary as well as secondary sources through questionnaires, interviews, field observation and document reviews. The collected data is analyzed using descriptive as well as narrative methodological approach. The research found out that the institutional and administrative structure and institutions level of accountability coupled with the various sources of budget as factors contributing to the poor inter sectoral integration. Besides, problem of communication during design preparations and common standards and guide lines to all service providers is also identified as one of the root causes. It was also realized that, the reactive nature of the legal procedures and shortage of clearly stated rules and regulations which suggest coordination among service providers along with weak enforcement has greatly contributed to the problem under review. Moreover, findings also confirmed that there is still loose communication during implementation due to poor utility database, lack of institutions capacity, interest and commitment, absence of responsible body to do the job and lack of long term plan. The existing coordination of utility infrastructure network status in the study areas indicates that the existing roads, water supply, sewerage system, drainage, telephone line and electric distribution network are affected under poor coordination and it requires immediate maintenance. The poor coordination among utility infrastructure network performance was evaluated by using performance indicators like infrastructure performance their coordination under planning, designing, construction, supervision and customer satisfaction.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.016
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.047
GPT teacher head0.324
Teacher spread0.277 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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