MétaCan
Menu
Back to cohort
Record W4221089072 · doi:10.1080/1369183x.2022.2050192

Actions speak louder than claims: humanitarian corridors, civil society and asylum policies

2022· article· en· W4221089072 on OpenAlexaboutno aff
Maurizio Ambrosini, Ilaria Schnyder von Wartensee

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
FundersUniversity of Notre Dame
KeywordsRefugeeCivil societyPolitical scienceHuman rightsIntervention (counseling)Closure (psychology)Comprehensive Plan of ActionPublic administrationEconomic growthSociologyLawPolitics

Abstract

fetched live from OpenAlex

Resettlement of refugees in third countries has seen a growing intervention by various civil society actors in the last few years, starting from the Canadian experience. Also in Europe, these sponsorship schemes are developing, despite a general restriction of asylum policies. This paper will analyse a case of civil society's sponsorship, which has been developed in recent years by religious (Christian) institutions, first in Italy, then in other European countries (France, Belgium, Andorra, San Marino and recently Germany), in agreement with governments: what have been called 'humanitarian corridors'. The paper will provide an evaluation of the project referred to arrivals from Ethiopia (more than 300 people), based on documents and interviews with key informants, volunteers and refugees. In particular, it will discuss the present outcomes of the project, together with its relationship with restrictive policies: how the cultural message of the project challenges borders closure for asylum-seekers. Studying such experience, this article also wants to discuss some general questions: What does this reception by CSOs have to do with a neoliberal vision of asylum and human rights? What are the potential benefits and the possible shortcomings of citizens' and communities' engagement in refugee reception?

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.096
GPT teacher head0.384
Teacher spread0.288 · 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 teacher head, not a consensus.

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

Citations16
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Ethnic and Migration StudiesSame topicMigration, Refugees, and IntegrationFrench-language works237,207