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Record W2271707240 · doi:10.22059/ier.2007.32651

The Effects Of Afghan Immigrants On The Iranian Labour Market

2008· article· en· W2271707240 on OpenAlexaboutno aff
Zahra Karimi Moughari

Bibliographic record

VenueIranian economic review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsAfghanUnemploymentImmigrationRefugeeQuarter (Canadian coin)WageDemographic economicsWork (physics)Unemployment rateLabour economicsPopulationEconomicsBusinessEconomic growthGeographyPolitical scienceDemographySociologyEngineering

Abstract

fetched live from OpenAlex

In 2005 Afghanistan has been the origin country of the largest refugees, by about a quarter of the global refugee population, who were mainly living in Pakistan and Iran. Almost all Afghan labourers are working illegally in Iran and have not work permission. They are unskilled and cheap workers, accepting any low payed job they are offered. Afghan refugees increased the supply of labour force in Iran for more than 2 decades. So wage increase for low skill workers has been very slow, specially in construction work, where Afghan workers have a large share. The results of our research show that Afghan workers have been attracted to the prosperous provinces where the unskilled workers where most wanted. As the workers can move easily in the country, the presence of Afghan workers in Tehran, Isfahan and Khorasan, has not caused higher unemployment rate neither in cities nor in villages of these provinces, however unemployment rate in the country has been raised. If Afghan immigrants leave Iran, unemployment rate will be lower and the wage rate for unskilled workers will rise considerably.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.275
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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