Pioneering Hinduism in Canada: The Life and Work of Swami Sivananda Radha
Bibliographic record
Abstract
Though Hindus began to arrive in Canada during the first half of the twentieth century, the first Canadian-based Hindu organization was founded by Sylvia Hellman (1911-1995), a German immigrant who arrived in Canada in 1951. Based on a vision of Swami Sivananda Saraswati, she traveled to visit his ashram in Rishikish, India, where Sivananda recognized her talents and where she was ordained as a sannysin and commissioned to spread Sivananda’s yoga teachings in North America. Upon her return to Canada, now known as Swami Sivananda Radha, with few resources at her command, she developed what became known as the Yasodhara Ashram in rural British Columbia, and from the ashram, she trained students, wrote books, and developed additional centers in both the U.S. and Canada, and pioneered Hinduism in Canada all the while acting as a self-conscious female spiritual leader.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.091 | 0.024 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.008 |
| 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".