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Record W6949738308 · doi:10.5281/zenodo.15471772

ASSESSING THE RELATIONSHIP BETWEEN SERVICE QUALITY AND CUSTOMER LOYALTY IN DELTA STATE'S PETROLEUM SERVICE STATIONS

2025· article· en· W6949738308 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPetroleumCompetition (biology)Service (business)Investment (military)Product (mathematics)Quality (philosophy)Margin (machine learning)Production (economics)Petroleum product

Abstract

fetched live from OpenAlex

Nigeria’s economy is heavily reliant on refined petroleum products, which serve as a primary fuel source for power generation, industrial plants, automobiles, and various agro-allied and petrochemical industries. The market for these products is crucial to the nation's economic stability and growth, significantly influencing the socio-economic wellbeing of the country. Key players in the market include depot operators (wholesalers), retail outlets (retailers), and both domestic and industrial consumers. The market is highly competitive due to the large number of depots and retail outlets, with products and services often having similar performance characteristics and qualities. The recent passing of the Petroleum Industry Bill, which led to the removal of fuel subsidies, has ushered in transformative changes in the sector. This regulatory shift, coupled with increased investment in the marketing of petroleum products, has intensified competition within the industry. Additionally, the classification of petroleum product retail outlets and depot operators has undergone significant evolution, impacting their operations and the broader market landscape. This paper explores the competitive dynamics of the Nigerian refined petroleum products market, examining the roles of various stakeholders and the effects of recent legislative changes on industry practices and competition

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.110
GPT teacher head0.326
Teacher spread0.216 · 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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicWheat and Barley Genetics and Pathology→French-language works237,207→