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Record W2809432801 · doi:10.31270/ijame/01/04/2012/16

Immigrants’ Labor Market Performance: with a Focus on Immigrant Women

2012· article· en· W2809432801 on OpenAlexaboutno aff
Savu Blessy M, Dimitriu Maria C

Bibliographic record

VenueInternational Journal of Advances in Management and Economics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationFocus (optics)Demographic economicsLabour economicsSociologyBusinessPolitical scienceEconomics

Abstract

fetched live from OpenAlex

This paper critically reviews predominant works on the issue of labor market performance of women, focusing particularly on the case of immigrant women in Canada, while also comparing with the case of immigrants in America. It provides a brief conceptual explanation of immigration and its impact on the host economy. It observes the eminent theories on labor market performance and factors influencing labor activity of immigrants. Due to the expansive nature of this topic and the wide range of labor market performance indicators, it focuses on the following indicators: wages, and earnings. Thus, welfare topics, such as welfare participation, contribution and expenditures, incidence of unemployment, and that of poverty are not elaborated in these subsections. Finally it presents the prominent themes in ongoing research concerning the determinants of labor market performance of immigrant women, in particular the price explanation, the family investment hypothesis, the bargaining model and the cultural effect model, while simultaneously providing critiques of the same. Keywords: Bargaining model, Family investment hypothesis, Immigrant, Women, Labor

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.224

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.005
GPT teacher head0.246
Teacher spread0.241 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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