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Record W3120282264 · doi:10.4000/echogeo.20232

Passer les frontières dans la Corne de l’Afrique : trois logiques de survie autour des figures du réfugié, du passeur et du rebelle

2021· article· fr· W3120282264 on OpenAlexaff
Alexandre Lauret

Bibliographic record

VenueEchoGéo · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

La Corne de l’Afrique et le Yémen représentent une région en proie à de multiples crises politiques et territoriales. Cet article souhaite comprendre comment ces crises favorisent de nouveaux espaces d’échanges à trois types d’acteurs différents : le réfugié yéménite fuyant la guerre, le passeur djiboutien faisant transiter des migrants éthiopiens et le rebelle afar en lutte contre l’État djiboutien. Ces trois figures sont générées par les crises et le franchissement de la frontière. Elles illustrent chacune une logique de survie différente : franchir la frontière pour l’exil, l’opportunité économique, enfin le soutien d’une lutte armée depuis l’étranger. Ces situations donnent à réfléchir aux stratégies que les populations mettent en place pour gérer les aléas politiques des États de la Corne et du Yémen.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.254
Teacher spread0.239 · 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 designQualitative
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

Citations2
Published2021
Admission routes1
Has abstractyes

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