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Record W2992493743

The Market Value of Friendship: Social Networks of Immigrants

2006· article· en· W2992493743 on OpenAlexvenueaboutno aff
Abdolmohommad Kazemipur

Bibliographic record

VenueCanadian ethnic studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEthnologySettlement (finance)Social capitalPolitical scienceHumanitiesSociologyEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT/RESUME Recent research has pointed to the significance of social capital the dynamics of international migration, from initiating the process of migration to the settlement and success of immigrants host countries. Particularly, it has been argued that, due to their minority status, immigrants tend to rely more heavily on their communities and social networks, and that this compensates for other disadvantages their new homes. Empirical research on this topic, however, is predominately American. We have attempted to address this gap the Canadian scholarship on immigrant integration by studying the nature of the social networks of immigrants, as compared to the native-born, as well as the pay-off to such networks. This study is based on data from a nation-wide survey of about 600 people, both immigrants and non-immigrants, living fourteen Canadian cities. Our findings show that, despite the above-mentioned argument, social networks of immigrants are inferior to those of the native-born many important aspects; they also yield smaller pay-offs. Policy implications of the findings are discussed. Des etudes recentes ont souligne l'importance du capital social dans le contexte de la migration internationale, de l'enclenchement du processus de la migration a l'etablissement et a la reussite des immigrants dans leurs pays d'accueil. On affirme notamment que les immigrants dependent plus sur leurs communautes et leurs reseaux sociaux afin de compenser pour d'autres desavantages qu'ils vivent dans leur pays d'accueil. Toutefois la majorite des etudes empiriques portant sur ce sujet sont americaines. Nous avons tente de combler ce manque dans les etudes canadiennes en examinant la nature des reseaux sociaux des immigrants, compares a ceux d'individus nes au Canada, aussi bien que les bienfaits tires de ces reseaux. Cette etude se base sur des donnees d'un sondage effectue aupres d'environ 600 individus, immigrants et natifs, residant dans 14 villes canadiennes. Les resultats demontrent que malgre l'argument mentionne ci-haut, les reseaux sociaux des immigrants sont moins importants que ceux des individus nes au Canada, et ce, selon plusieurs aspects importants, ils sont egalement moins rentables. L'etude se penche egalement sur les consequences en matiere de politiques. INTRODUCTION Studies of social networks are not new; however, there has been a recent rekindling of interest the topic as a result of the rising popularity of the concept of social capital. The main thrust of the fast-burgeoning literature on social capital is the simple and intuitively sensible idea that our lives are influenced, not merely by how much we know and what we possess, but also by who we know (Lin et. al. 2001). Canadian Ethnic Studies/Etudes ethniques au Canada XXXVIII, No. 2, 2006 This is to say that the nature of our social relations with others--either our immediate community or society at large--has significant implications for the type of lives we live. Examination of social networks is at the heart of any study on social capital. As Coleman (1988, $98) argues, social capital has no finite basis, as does physical capital, nor does it have observable bases, as is the case with human capital. Instead, the essence of social capital is in the structure of relations between actors and among actors. This means that any study of social capital that does not account for social networks will remain incomplete. Despite this centrality, however, the number of studies that have focussed on social networks is very limited, due partly to the fluid nature of social relationships and the difficulty of capturing their dynamics. Existing studies on the consequences of social networks have covered a wide spectrum, ranging from affecting nation-wide trends to influencing individual life chances. Some, for instance, have considered the impact of social relations (or, social capital) on the macro-economic developments of society (Putnam 1993; Fukuyama 1995; Woolcock 1998); others have studied its implications for a society's political structure (Putnam 1995, 2000); a third group have focussed on the consequences of social capital for an individual's chances of finding a job (Granovetter 1974; Lin 1999; Fernandez et. …

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)0.001
metaresearch head score (Gemma)0.006
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 score0.094
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.061
GPT teacher head0.350
Teacher spread0.289 · 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

Citations55
Published2006
Admission routes2
Has abstractyes

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