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Record W4312061266 · doi:10.18357/bigr41202220828

A Family Mobilization for Migration to Europe from Casamance, Senegal

2022· article· en· W4312061266 on OpenAlexvenueno aff
Abdoulaye Ngom

Bibliographic record

VenueBorders in Globalization Review · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureEliteGeographyPrivilege (computing)Political scienceSocioeconomicsEconomic growthSociologyPoliticsAgricultureArchaeology

Abstract

fetched live from OpenAlex

The ratio between basic salaries in Western Europe and in sub-Saharan Africa is at least of a factor ten. Many young Africans therefore dream of emigrating to Europe. However, the air route remains a privilege reserved to members of elite families: to take a plane one needs a visa for most European countries. Without a visa, the only two possibilities are the sea route via coastal navigation along the African coast and the land route through the Sahara. These are the very dangerous and uncertain routes that tens of thousands of migrants nevertheless take each year. This article examines the case of a family of small-scale subsistence farmers in Casamance, the Southern region of Senegal. It shows how this family of 42 persons decided to send one of its members to try to enter France illegally. How they chose the migrant, how they collected the necessary funds, and what happened during the two attempts. This detailed case study gives an idea of the steps taken each year by tens of thousands of other families in Africa who try sending one of their sons across European borders.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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