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Record W4414547536

Étude de satisfaction clientèle dans les transports publics à Bouaké : une satisfaction selon le statut des usagers de la SOTRA ?

2025· preprint· en· W4414547536 on OpenAlexaff
Moustapha Bamba, Tuo Hubert Donanfra, Boulard Danièle

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2025
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCourtesyContext (archaeology)Public transportUser satisfactionPublicsState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The article aims to analyze the state of public transport user satisfaction approximately 15 months after the public transport company SOTRA (Société des Transports Abidjanais) established itself in Bouaké, the second largest city in Côte d'Ivoire. A questionnaire was administered to public transport users at the various stops and bus terminals. In a context of strong competition, the research shows that several variables influence user satisfaction in Bouaké. While a large majority of users are students, the research reveals that they are generally satisfied with the public transport company's services and that certain criteria such as the courtesy of drivers divide users.

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 score0.069
Threshold uncertainty score0.136

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 studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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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