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Record W623432565

Locating Home: India's Hyderabadis Abroad

2007· book· en· W623432565 on OpenAlexaboutno aff
Karen Léonard

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsIslamSettlement (finance)UrduState (computer science)Gender studiesEmigrationImmigrationGeographyGenealogyNarrativePolitical scienceHistoryEthnologySociologyArchaeologyArt
DOInot available

Abstract

fetched live from OpenAlex

This book is a comparative study of Hyderabadi emigrants settling in Pakistan, the United Kingdom, Australia, the United States, Canada, Kuwait, and the United Arab Emirates at the end of the twentieth century. Based on ten years of fieldwork and extensive interviews, it traces Hyderabadi culture and institutions in these places of settlement, looking at the different versions of Hyderabadi history transmitted and the personal networks and collective bodies formed abroad. Hyderabad, Islamic, and Urdu associations, in addition to other groups are surveyed, as are the marriages of the migrants and the subsequent generations. The author shows how memories of old Hyderabad are retained, redefined, or discarded depending on generation, gender, class, and connections to the Nizam's former state of Hyderabad and the national narratives of the new sites of settlement. Throughout the book, she emphasizes the role of the state in identity formation, the importance of language and religion for retention and reformulation of identities, and the instability of diasporic communities both within and across national boundaries.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0090.004
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.333
Teacher spread0.312 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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