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Record W2001585488 · doi:10.4000/echogeo.13080

Motorbike taxis in the "transport crisis" of West and Central African cities

2012· article· fr· W2001585488 on OpenAlex
Lourdes Díaz Olvera, Didier Plat, Pascal Pochet, Maïdadi Sahabana

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEchoGéo · 2012
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsBerger (Canada)
Fundersnot available
KeywordsTaxisHumanitiesPolitical scienceGeographyAir transportArtTransport engineering

Abstract

fetched live from OpenAlex

Dans nombre de villes d’Afrique subsaharienne, un mode original de transport commercial de personnes, le moto-taxi, connaît un développement spectaculaire. L’objectif de cet article est d’analyser les conditions qui ont rendu possible l’émergence des motos-taxis comme l’un des principaux modes collectifs, et d’éclairer le rôle qu’ils tiennent dans la mobilité urbaine. L’essor des motos-taxis peut s’expliquer par le manque d’offre de transport public, par la disponibilité des facteurs de production, par le laxisme de la régulation publique en matière de transport urbain. Les résultats de deux enquêtes ménages mobilité menées en Afrique centrale (Douala) et de l’Ouest (Niamey) montrent que, là où ils sont utilisés, les motos-taxis peuvent contribuer à élargir l’accès à la mobilité motorisée et à satisfaire des besoins de mobilité non pris en compte par d’autres modes de transport collectif.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.338
Teacher spread0.303 · 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