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Record W4253667427 · doi:10.32920/ryerson.14663460.v1

A critical examination of remittances as a neoliberal development strategy: the burden of development on an exploitable migrant workforce

2021· preprint· en· W4253667427 on OpenAlexaff
Alison Stanley

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsToronto Metropolitan UniversityUniversity of Ottawa
Fundersnot available
KeywordsNexus (standard)GlobalizationContext (archaeology)WorkforceModernization theoryPolitical sciencePoliticsDevelopment economicsHomelandEconomic growthEconomicsEconomic systemGeographyEngineering

Abstract

fetched live from OpenAlex

In recent years, the migration and development framework has shifted to a focus on the role of diasporas and migrant remittances in homeland development. Using criticality and particularly political economy as a methodology, this research paper sheds light on how the so-called migration-development nexus is embedded within a context of unequal neoliberal economic globalization. The research paper demonstrates that current approaches are a resurgence of modernization theories of development, which ignore the structural and historic conditions within which international migration from the Global South to the Global North is embedded. The research paper puts forward that the current focus on remittances as a source of development places the burden of a country's development onto an exploitable migrant workforce.

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)0.004
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.021
Scholarly communication0.0070.010
Open science0.0010.005
Research integrity0.0020.003
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 head0.055
GPT teacher head0.343
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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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