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Record W4318769635 · doi:10.1080/14650045.2023.2170789

Capacity Building as Intervention-Lite: Migration Management and the Global Compacts

2023· article· en· W4318769635 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeopolitics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCapacity buildingRefugeeElitePolitical scienceIntervention (counseling)Norm (philosophy)State-buildingSovereigntyEconomic growthPublic administrationPublic relationsLawPoliticsEconomicsMedicine

Abstract

fetched live from OpenAlex

Many states lack the standing capacity – housing, food, medical, or legal assistance – if thousands of people cross their border in one day. In addition, developing countries often lack the administrative capacity, expertise, and legal frameworks to process immigration or asylum applications and issue visas or refugee statuses. In response, the United Nations and other international organisations (IOs) propose to build the capacity of states through direct aid, training schemes, consultancies, twinning programmes, and start-up funds. The 2018 Global Compacts on Refugees (GCR) and the Global Compact for Safe, Orderly and Regular Migration (GCM) were in part created with the mandates to ‘build capacity’ in designated states. This article examines how the meaning of capacity building has changed in migration management over the last 70 years. First, we present a brief history of capacity building and theorise capacity building as a form of intervention-lite that relies on the invitation by the host state and reaffirms an absolutist interpretation of sovereignty. The emerging norm of ‘well-managed migration’ asserts that if a state is not able to make migration safe, then the international community has a responsibility to provide resources and training to those national institutions. The article traces this logic of intervention-lite and the norm of ‘well-managed migration’ in the Global Compacts, particularly UNHCR Asylum Capacity Support Group and UN Network on Migration’s capacity building mechanism. Methodologically, we draw on elite interviews, case studies, policy analysis, project workplans, evaluations, UN white papers and reports to examine the concept of ‘capacity building’ as framed in the Global Compacts and its implications for migration management and sovereignty. While the compacts affirm state responsibility for migration management, the GCR and GCM increase the capacity of international organisations to intervene in domestic institutions, rather than increase the capacity of national institutions.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.328
Teacher spread0.301 · 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