9781003454342_10.4324_9781003454342-7.pdf
Bibliographic record
Abstract
The Politics and Poetics of Indian Digital Diasporas explores the emancipatory potential and pitfalls of digital platforms and how well or how poorly they reflect intra-communal diversities within South Asian diasporic communities. This book brings together an international network of scholars, both established and emerging, to explore South Asian diasporic communities in the United States, Canada, Australia, and the U.K. It is a comparative cross-national analysis of the intersection of digital technologies and South Asian diasporas. The book centres on three key themes: the ever-presence of digital spaces and the importance of exploring them as focal points for defining and contesting identities; an exploration of how ‘home’ is represented in and across South Asian diasporic communities; and intra-communal diversity in South Asian diasporic communities. The chapters show how digital spaces sometimes create unprecedented opportunities for diasporic communities to mobilise (multi)cultures, sexuality, race, and queerness within South Asian diasporic communities and to move beyond ‘Desi’ and ‘Brown’ as homogenising identifiers. The contributors also demonstrate that digital spaces can be and have been used to reassert internal hegemonies far from homelands. Examining the discursive meanings of South Asian-ness – ‘Desi’, ‘Brown’, ‘South Asians’– the book foregrounds how it is defined, performed, and contested through digital platforms, in ways that redefine the concept of diaspora in innovative, non-territorialized, polyphonic, variegated, and dialogic ways. A novel contribution to the intersection of global digital inequalities, digital cultures and the South Asian diaspora, this book will be of interest to a wide scholarly audience of digital media, South Asian diaspora, culture and ethnicity, race, and the politics of resistance and counter-hegemonic mobilisations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.866 | 0.814 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".