ETHNO-RELIGIOUS HISTORY AND INSTITUTIONAL DEVELOPMENT OF SIKH DIASPORA IN CANADA – THE CASE OF MAIHA RAM MEHMI
Bibliographic record
Abstract
As writing itself has been an indispensable part of the diasporic expression, what remains integral is its history encrypted in every experience. With time and over generations, diaspora writing has witnessed a tremendous diversity of experience and their consequent expression. For instance, the long history of Sikh immigration to Canada doesn’t obfuscate substantial moments of identity negotiation, group solidarity, co-creation, and cooperation along with the invented mechanisms of social hierarchies and differences which exhibit the least discontinuity in the diaspora. The case for the present study is the story of a Punjabi Sikh Dalit family of Mahia Ram Mehmi, in Canada since 1906 sourced from South Asian American Digital Archive (SAADA) penned by Riya Lalitha. This paper comprehends the Sikh diaspora society in Canada keeping sight of the following objectives: (i) How religious practice is intertwined with the social system? (ii) How community advocacy may realize the tangible goal of prejudice (for example, caste) liberation in society? Explorations into this story will unfold the deep abyss of social hierarchy dividing the diaspora and the entire institutional mechanism growing out of such geopolitical circumstances such as Apna Gurudwara, Chetna Foundation, International Dalit Conference (IDC), etc.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.040 | 0.016 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".