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Record W2791038535 · doi:10.1111/imig.12436

New Light on the Remittances‐Poverty‐Health Nexus in Macedonia

2018· article· en· W2791038535 on OpenAlexfundno aff
Blagica Petreski, Despina Tumanoska, Jorge Dávalos, Marjan Petreski

Bibliographic record

VenueInternational Migration · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsRemittancePovertyNexus (standard)Consumption (sociology)EconomicsPopulationDevelopment economicsDemographic economicsSocial protectionCashSocioeconomicsEconomic growthEnvironmental healthMedicineMacroeconomicsSociology

Abstract

fetched live from OpenAlex

Abstract Macedonia receives about 10 per cent ofGDPas cash remittances per year while a third of the population faces poverty. The study aims to investigate whether remittances improve the poverty and health of individual remittance‐receivers in Macedonia. To that end, we rely on the 2008 Remittances’ Survey and a sequential structural model linking remittances to social indicators. We find that remittances have a significant effect oto consumption, in particular health consumption, hence contribute to reducing poverty. In turn, improved health consumption significantly reduces the incidence of bad health among receivers. This finding lends support to the claim that remittances serve an informal social protection in Macedonia.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.018
GPT teacher head0.328
Teacher spread0.310 · 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 designObservational
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

Citations10
Published2018
Admission routes1
Has abstractyes

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