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Record W3036779206 · doi:10.1177/1035304620937881

Impediments to free movement of Chinese seafarers in the maritime labour market

2020· article· en· W3036779206 on OpenAlexaff
Zhiwei Zhao, David Walters, Desai Shan

Bibliographic record

VenueThe Economic and Labour Relations Review · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsDalhousie University
FundersFundamental Research Funds for the Central Universities
KeywordsChinaBusinessUnderdevelopmentWelfareWork (physics)ConventionLabour economicsMarket economyEconomicsEconomic growthPolitical scienceLaw

Abstract

fetched live from OpenAlex

With economic reform, in China, labour turnover of seafarers became more possible. However, little attention has been paid to its consequences. A limited literature indicates that Chinese seafarers may leave state-owned enterprises to become freelance seafarers, working in the global labour market for better wages and employment conditions. There have been predictions of a substantial increase in seafarer export, with China becoming the top labour supplier to the global maritime industry. However, such expectations have been largely unmet. Through 157 qualitative interviews with seafarers and managers in Chinese ship crewing agencies, we explore some reasons why this may be so. The findings suggest that Chinese seafarers are in fact limited in their willingness and ability to leave their companies. This is due to a complex mixture of organisational, regulatory, infrastructural and personal contexts that are their everyday experience of work in China. Analysis further suggests that the underdevelopment of a national regulatory infrastructure and welfare support mechanism for seafarers, along with poor implementation of the Maritime Labour Convention 2006, combine to limit the extent of the reform of the Chinese seafaring labour market. Together, these factors help to explain why China’s seafaring labour export has been far lower than anticipated. JEL Codes: D40, E24, F66, J61, J83

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)0.002
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 score0.120
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.018
GPT teacher head0.225
Teacher spread0.206 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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