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Record W3122512365 · doi:10.1080/17516234.2021.1880047

International Migration, Remittances and COVID-19: Economic Implications and Policy Options for South Asia

2021· article· en· W3122512365 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

VenueJournal of Asian Public Policy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsToronto Metropolitan UniversityCentre for Movement Disorders
Fundersnot available
KeywordsRemittanceDevelopment economicsUnemploymentShock (circulatory)Nexus (standard)EarningsEconomicsSouth asiaPandemicCoronavirus disease 2019 (COVID-19)Foreign exchangeRecessionInternational economicsEconomic growthMacroeconomicsMonetary economicsFinance

Abstract

fetched live from OpenAlex

COVID-19 has disrupted the flow of international remittance that many South Asian economies depend upon. This 'remittance shock' is likely to catalyse a downturn in foreign exchange earnings, worsen structural unemployment and threaten the welfare of millions of low-income families. We situate the pandemic as an unprecedented challenge to the migration-development nexus in South Asia and examine the economic implications for three remittance economies: India, Nepal and Sri Lanka. We evaluate those countries' existing responses to the crisis and discuss policy alternatives, highlighting the need to recalibrate development strategies by reducing reliance on migration and remittances.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.370
Teacher spread0.341 · 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