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Diminished tradition of return? Transnational migration in Bolivia's Valle Alto

2011· article· en· W1999039228 on OpenAlexaboutno aff
Richard C. Jones, Leonardo de la Torre

Bibliographic record

VenueGlobal Networks · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Demographic economicsFamily tiesPopulationGeographyPolitical scienceDevelopment economicsEconomic growthEconomyEconomicsSociologyDemographyHistoryGenealogy

Abstract

fetched live from OpenAlex

Abstract One‐fifth of the Bolivian population lives abroad, and transnational behaviour strongly links their villages with destination communities. In this article we address whether the increasing difficulty of return migration (owing to legal and geographic barriers) results in diminished social and economic remittances to the country of origin. Results from a questionnaire survey of 417 households in the Valle Alto area of Cochabamba Department in 2007 reveal that monetary remittances account for one‐half of the income of active migrant families (and one‐quarter of income overall), and that transnational cultural ties remain strong. However, after ten years of cumulated time abroad the intention to return to Bolivia drops markedly along with economic and some social remittances. Closer analysis reveals that time abroad reduces these ties through the mediating forces of family members abroad, legal status, and home ownership abroad.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.023
GPT teacher head0.264
Teacher spread0.242 · 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 designQualitative
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

Citations23
Published2011
Admission routes1
Has abstractyes

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