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Record W2024569459 · doi:10.4000/vertigo.1828

Vulnérabilité et résilience des populations riveraines liées à la pollution des eaux lagunaires de la métropole d’Abidjan, Côte d’Ivoire

2006· article· fr· W2024569459 on OpenAlexvenueno aff
Koné Brama, Guéladio Cissé, Houenou Pascal Valentin, Brigit Obrist, Kaspar Wyss, Odermatt Peter, Marcel Tanner

Bibliographic record

VenueVertigO · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyPolitical scienceArt

Abstract

fetched live from OpenAlex

La lagune d’Abidjan est polluée par les déchets urbains. Les populations périurbaines, riveraines de cette lagune sont exposées à la pollution.L’étude porte sur l’évaluation des aspects de vulnérabilité et de résilience des populations exposées. Neuf "focus groups" ou groupes de discussion ont été réalisés sur trois sites qui bordent la lagune. Les populations étudiées se disent victimes de "la ville". Les aspects de leur vulnérabilité rapportés par elles sont entre autres les mauvaises odeurs qui émanent des eaux lagunaires, les mouches et moustiques qui se multiplient en lagune et qui leur apportent des maladies comme le paludisme et les diarrhées, les démangeaisons de corps dont les pêcheurs se plaignent. En ce qui concerne les aspects de résilience, des actions individuelles d’entretien des berges lagunaires sont menées par endroit. Le capital financier, humain et social des malades ou de leur famille joue un rôle important dans leur résilience en cas de maladie.

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)0.002
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 score0.207
Threshold uncertainty score0.412

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.020
GPT teacher head0.289
Teacher spread0.269 · 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

Citations12
Published2006
Admission routes1
Has abstractyes

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Same venueVertigOSame topicHistorical and Environmental StudiesFrench-language works237,207