Religious reconstruction in the South Asian diasporas : from one generation to another
Bibliographic record
Abstract
Notes on Contributers Introduction J.R.Hinnells PART ONE: RELIGIOUS AND SOCIAL ISSUES A Reassessment of Identity Strategies Amongst British South Asian Muslims R.Geaves British Muslims and the Search for Religious Guidance P.Lewis The Contribution of Nurture in a Sampradaya to Young British Hindus Understanding of their Tradition E. Nesbitt Celibacy and Salvation in the Swaminarayan Movement R.Barot Death and Bereavement in South Asian Diaspora Communities S.Firth Parsi Zoroastrian Experiences in Four 'Western' Countries: A Comparative Study J.R.Hinnells PART TWO: RELIGIOUS AND POLITICAL ISSUES Religion and Ethnicity in America R.B.Williams Public Policy Implications of Canada's Multiculturalism for Religious Pluralism H.Coward Cultural Diversity, Religious Plurality and Government Policy in Australia G.D.Bouma Religion in the Educational System of England and Wales: Law, Policy and Representation R.Jackson PART THREE: SOUTH ASIAN DIASPORA RELIGIONS POST- 9/11 and 7/7 South Asians in America Post 9/11 R.B.Williams Law, Religion and South Asians in Diaspora W.Menski Living with Difference: A Forgotten Art in Urgent Need of Revival? R.Ballard Index
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".