MétaCan
Menu
Back to cohort
Record W4285213220 · doi:10.1007/978-3-030-97322-3_6

‘Hanging in the Air’: The Experiences of Liberian Refugees in Ghana

2022· book-chapter· en· W4285213220 on OpenAlexaffabout
Heaven Crawley, Veronica Fynn Bruey

Bibliographic record

VenueIMISCOE research series · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsAthabasca University
Fundersnot available
KeywordsRefugeePolitical scienceContext (archaeology)PovertyEconomic growthDisplaced personMainstreamInternally displaced personDevelopment economicsGeographyLaw

Abstract

fetched live from OpenAlex

Abstract The civil wars that devastated Liberia between 1989 and 2003 displaced an estimated 800,000 people internally, with more than a million people travelling to neighbouring countries in West Africa in search of protection and the opportunity to rebuild their lives. More than 15 years after theAccra Comprehensive Peace Agreementwas signed, tens of thousands of Liberians continue to be displaced in Liberia, Ghana, and Côte d’Ivoire. Whilst some have been resettled – primarily to Canada, the US, Australia, and European countries – most have been left ‘hanging in the air’, living in extreme poverty, marginalised from mainstream development policies and planning, and unable to either contribute to, or benefit from, efforts to rebuild peace and security in their home country. Their needs, interests and aspirations have been largely ignored by academics and policymakers in the Global North whose focus, particularly over recent years, has been primarily on the drivers of migration from West Africa across the Mediterranean to Europe. At a regional level, there have been efforts by the Economic Committee of West African States (ECOWAS) to provide alternative models of integration, particularly since the United Nations High Commissioner Refugees (UNHCR) announced the cessation of refugee status for Liberian refugees in Ghana and Côte d’Ivoire in June 2012. However, significant barriers to both local integration and safe-third country resettlement remain. This chapter examines the experiences of Liberian refugees living in Ghana and their struggles to secure national and international protection in a context where returning to Liberia remains impossible for many.

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0170.012
Scholarly communication0.0060.006
Open science0.0020.012
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.061
GPT teacher head0.391
Teacher spread0.330 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueIMISCOE research seriesSame topicMigration and Labor DynamicsFrench-language works237,207