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Record W29321968 · doi:10.18584/iipj.2013.4.3.3

Effects of Labour Mobility: An Analysis of Recent International Development Literature

2013· article· en· W29321968 on OpenAlexvenueaboutno aff
Manolo Abella

Bibliographic record

VenueInternational Indigenous Policy Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)Developing countryEarningsHuman capitalIndigenousDevelopment economicsEconomic growthWelfareStock (firearms)EmigrationPolitical scienceBusinessEconomicsGeography

Abstract

fetched live from OpenAlex

Successive censuses have shown that the Aboriginal populations of Canada are very mobile with strong tendencies to move to urban areas, but little is known about the consequences of these circular movements on the development of First Nations, the welfare of individual members and their families, and the costs and benefits to their larger communities. This article reviews the large body of literature on the nexus between mobility and development of countries in the developing world with a view to developing insights that may be relevant to the development of First Nation communities. While there are clear differences, the two contexts may be similar enough – in terms of socio-economic well-being, service levels, and institutional barriers to socio-economic development – for such analysis to contribute to understanding the effects of migration on the migrants themselves, their households, and their communities and countries of origin. The experience of developing countries suggest that there are positive gains not only in earnings but also in education and health for those who move internally and more so for those able to move internationally, even if there remain some concerns about negative effects on migrants’ families left behind, especially on the children. What seems clear is that migration plays an important role in family survival strategies. Money migrants send home finance the education of children, enable better health care, and improve housing. They shield migrants’ families against all kinds of “shocks”. However, emigration may reduce the human capital stock (brain drain), thus adversely affecting productivity. The loss of health professionals can set back critical medical services in remote communities, and disrupt formal and informal systems for transferring know-how. These “spill-over effects” or externalities on origin communities can be significant, imposing burdens on those left behind. Finally, the article looks at how diaspora communities have served as sources of information, linkages, or networks with businesses, markets for sovereign bonds, mediums for the transfer of technology and know-how, and a market for tourism.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.335
Teacher spread0.323 · 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 teacher head, not a consensus.

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

Citations7
Published2013
Admission routes2
Has abstractyes

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