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Record W2291008938 · doi:10.3138/jcfs.43.1.53

Hindu Transnational Families: Transformation and Continuity in Diaspora Families

2012· article· en· W2291008938 on OpenAlexvenueno aff
Inês Lourenço, Rita Ávila Cachado

Bibliographic record

VenueJournal of Comparative Family Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsTransnationalityDiasporaHinduismTransnationalismSociologyGujaratiGender studiesContext (archaeology)GeographyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Transnational contexts enable the emergence of new forms of family organization expressed through different family configurations, thus reshaping gender roles within the family. Therefore, former norms related to daily family and social relations traditionally conditioned by gender and age, become an object of transformation. This paper analyzes the Hindu-Gujarati transnationality through two perspectives: one that understands family transformations through social-cultural adaptations to different host societies, and another that takes into account social, spatial and housing mobility. Given the fact that Hindu-Gujarati diasporic families live in three or more countries at the same time, they constitute a particularly rich context to combine theoretic perspectives on transnationality, mobility and diaspora, perspectives that are usually addressed in parallel and not in a combined manner. The paper stresses importance to physically accompany individuals in their process of territorial and cultural mobility, i.e., between Portugal, India and other centers of the diaspora. Within this multiple context, the study seeks to answer several questions: Given the diversity of studies within transnationalism, what dimensions and new reflections can the ethnographic observation of these families bring to the social sciences? In the migrant condition, how are family relations with distant relatives, configured and maintained? Are there specificities in the way Hindu families in Portugal adapt to communicational and information technologies, or do they follow the trends of other transnational families?

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0030.002
Open science0.0000.003
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 head0.093
GPT teacher head0.370
Teacher spread0.277 · 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

Citations14
Published2012
Admission routes1
Has abstractyes

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