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Record W2582848182 · doi:10.3138/jcfs.43.2.237

Family Influences on Goals, Remittance Use, and Settlement of Mexican Immigrant Agricultural Workers in Minnesota

2012· article· en· W2582848182 on OpenAlexvenueno aff
Catherine Solheim, Georgina Rojas‐García, Patricia D. Olson, Virginia Solis Zuiker

Bibliographic record

VenueJournal of Comparative Family Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsRemittanceImmigrationEarningsExtended familySettlement (finance)Economic growthSociologyDemographic economicsPolitical scienceBusinessEconomicsFinance

Abstract

fetched live from OpenAlex

International migration to seek work and remit money home is an increasingly common family strategy to overcome financial hardship. However, little is understood about family involvement in the decision to leave or how family circumstances influence migration. This qualitative study analyzed narratives of 17 agricultural workers in Minnesota and 17 of their family members in Mexico to describe their migration experiences. Results show how goals, remittances, and families shape or are shaped by the migration experience. We identified three family situations that influenced immigrants’ goals, remittance use, and their length of stay. “Target earners” (n=5) left their spouses and children in Mexico. They earned money in Minnesota and remitted as much as possible to improve their lives in Mexico. “Settlers” (n=10) lived with spouses and children in Minnesota. Their earnings were spent primarily on basic living expenses; little was left to remit more than occasionally or invest in longer-term goals. Over time, U.S. settlement emerged as a goal for this group of immigrants. “Singles” (n=2) who were not married, primarily supported parents in Mexico. They were unsure of their future goals. The decision by families to use international migration to achieve goals and improve their lives results in economic activities and social relationships that span two countries. As globalization increases this phenomenon, it is important to expand our understanding of the realities of these complex family systems.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.363

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 head0.096
GPT teacher head0.374
Teacher spread0.278 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

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