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Record W7125954156 · doi:10.1386/gdm_00046_1

Ethnic minorities, transnational diasporas and communicative sovereignty: Challenges and opportunities for Vietnam’s development NGOs

2025· article· en· W7125954156 on OpenAlexaff
An-Binh Tran, Katherine Reilly

Bibliographic record

VenueJournal of Global Diaspora & Media · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEthnic groupSituatedVietnameseRepresentation (politics)SovereigntyResource (disambiguation)

Abstract

fetched live from OpenAlex

Diaspora networks constitute an important resource for ethnic minority groups that seek greater recognition and representation in development and social change. However, for local development NGOs, mobilizing communication for development (C4D) to support these connections is often historically, politically and socially complex. In this article we offer the concept of communicative sovereignty as a C4D framework that local NGOs can use to help ethnic minorities achieve greater recognition and representation. We illustrate the utility of this concept through analysis of the Vietnamese NGO iSEE, which formed the Tien Phong network for the voices of ethnic minority groups, and has carried out various projects to support their efforts. We conclude that despite digital connectivity and extensive social networks, there are often significant communicative and cultural barriers to mobilizing diasporas for development, and addressing these requires historically situated analysis.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0100.007
Open science0.0010.009
Research integrity0.0010.002
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 head0.118
GPT teacher head0.352
Teacher spread0.234 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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