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De Koloci à la drépanocytose

2012· article· fr· W1511132663 on OpenAlexaff
Agnès Lainé, Dapa A. Diallo, Bakary Traoré

Bibliographic record

VenueAnthropologie et santé · 2012
Typearticle
Languagefr
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

La drépanocytose affecte 1 à 3 % des nouveau-nés en Afrique subsaharienne. Les situations épidémiologiques et anthropologiques, les politiques de santé inégales d’une région à l’autre depuis plusieurs décennies, font entrevoir l’intérêt d’études situées et historicisées. Dans le contexte de la mise en place d’un centre de recherche et de lutte contre la drépanocytose à Bamako, nous avons étudié en 2007-2008 les interrelations entre les savoirs et le traitement social de cette pathologie, en milieu rural d’une part, urbain d’autre part. Cette recherche, réalisée par entretiens auprès de personnes atteintes, de parents d’enfants atteints, de tradithérapeutes, de personnels biomédicaux et associatifs, révèle l’impact des transformations des savoirs sur le vécu social de la maladie et l’impact de la mondialisation économique et sanitaire sur les trajectoires familiales. Elle plaide pour la prise en compte des contextes sociaux dans les orientations de santé publique et les actions de communication.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.037
GPT teacher head0.415
Teacher spread0.378 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations8
Published2012
Admission routes1
Has abstractyes

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