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Record W6982393783

Implications of the absence and barriers to cross-border pension portability (CBPP) : a study of Ghanaian health workers' experiences and return prospects from the United States of America

2024· article· en· W6982393783 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - Lingnan (Lingnan University) · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsnot available
Fundersnot available
KeywordsPensionLaggingSocial securityDeveloping countrySoftware portabilityQualitative researchQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The introduction of Cross-border Pension Portability (CBPP) schemes to help migrants port, transfer, and assess their contributory social security benefits from host nations to their home country has been applauded by international organisations. Nevertheless, such agreements are increasingly prevalent among "rich-rich" countries while developing countries, especially African countries, are lagging behind. In the absence of such agreements, migrants who have contributed to the host country's social security system may be swayed by the prospect of forfeiting these contributions when they return and choose to stay at places they would rather not be at retirement. This thesis responds to these concerns by using interviews to examine the implication of the absence of CBPP for Ghanaian health workers in the United States, the possible feasibility challenges of implementing CBPP between Ghana and the United States, and the various factors that play a role in return migration decisions. I draw on neo-classical economic labour migration theory, new economic labour migration theory, structural theory, and the life course theory. The study involved 28 Ghanaian health workers in New York and 4 social security officials in Ghana as expert informants to help elucidate the underlying context-specific challenges peculiar to Ghana. This qualitative study has provided a contextual understanding of the implication of the absence of CBPP in the experiences of migrants, which further explains why Ghana may be falling out of CBPP. The study's findings shed light on how migrants' perception of institutions back home influences the feasibility of CBPP and their preference for unilateral over bilateral CBPPs. Other findings bordered on the maturity of data security systems in Ghana to handle shareable information that may be characterised in such agreements. Also, matters on the exchange rate, previous employment history back home, time and age of migration, and its overall impact on the feasibility of implementing CBPPs were discovered. The study discovered that Ghanaian migrants face unique integrational challenges, such as unrecognised educational qualifications, which further affect their social security eligibility status in host nations when they retire. After they are eligible, they are constrained by stringent social security conditionalities that compel them to extend their stays and, consequently, their work life to await the attainment of citizenship. They rely on citizenship as a portability tool since only Americans can assess their pensions anywhere in the world. Without this, migrants can only stay outside the US for a limited period. The study has significantly contributed to developing a conceptual framework that identifies some factors of return migration, such as health, source of finance, family, safety, and location of property as the main factors of return migration. The study further proves these factors are hierarchical, beginning with health as prime and ending with property location as auxiliary. The study establishes that decisions to return are made based on choice (Preferred) or rationality (best option). The research contributes to the ongoing discourse on CBPP for migrants, providing insights into the need for a tailored CBPP scheme for some developing countries to protect migrants' rights to their accrued benefits.

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)0.006
metaresearch head score (Gemma)0.010
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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