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Record W6930716441 · doi:10.5281/zenodo.15147929

UNDERSTANDING THE ROLE OF THE DIASPORIC NETWORK, REMITTANCE AND PHILANTHROPIC CONTRIBUTION IN DEVELOPMENT PROCESS OF GANDHINAGAR AND KACHCHH DISTRICTS OF GUJARAT

2025· article· en· W6930716441 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaGujaratiHomelandRemittanceGovernment (linguistics)

Abstract

fetched live from OpenAlex

The Indian diaspora is one of the largest and prolific communities in the world and the Gujarati diaspora is one of the oldest and the largest Indian diaspora community. The study of Guajarati migration and its diaspora is extremely important to understand the developmental process of Gujarat. Gujarat, lauded as one of the most developed states in India has not reached the position without support from its diaspora, the state has harnessed the help of its Diaspora community abroad. Over the centuries of migration and trade that the Gujarati communities were a part of and after decades of migration to countries like U.S.A, U.K, Canada, Australia, Middle- Eastern and African countries etc., the Gujarati Diaspora community has established itself as a strong force in various social, economic and political spheres. The Gujarati diaspora has strong cultural ties to their homeland and as a result of it, they have a long tradition of philanthropy and aiding in the development of their home and community. The Gujarati diaspora feels a strong sense of duty towards their home and community, and they contribute in various ways in improving and developing their homeland and community. They do so across various spheres like education, healthcare, helping the elderly and many more through the remittances and philanthropy. This flow of remittances to their home villages and towns help in their development. The government of Gujarat also has recognized their contributions and made schemes that involve the Gujarati Diaspora in the development of the state. It is important to study the complex relationship between the diaspora and the homeland to understand development, philanthropy, the diasporic network and also the future of diaspora engagement. Thus, the paper has analysed the history and patterns of Gujarati migration and the contribution of Gujarati Diaspora to the development of the selected districts for study, namely- Kachchh and Gandhinagar. The paper along with the present positives has also explored the future of the Gujarati Diaspora’s contribution in the development of Gujarat and its engagement with its homeland. The paper has attempted to emphasize the need for further governmental policies and intervention in engaging the Gujarati diaspora. To do so, the research paper uses qualitative methods like literary analysis to study the history and pattern of migration, case studies and interviews from the selected districts of Kachchh and Gandhinagar. Some of the villages like Madhapar, Sukhpar and others from Kachchh and Nardipur, Dhamasana and others from Gandhinagar were the selected villages to study the contribution of the Gujarati Diaspora in the development process of Gujarat.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.224
Teacher spread0.185 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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