Hindu Avatar and Christian Incarnation: A mystery of the Presence of God
Bibliographic record
Abstract
A mystery of the Presence of GodFlora Visser welve years ago, I was introduced to a guru-avatar, Mata Amritananda Mayi, who for the first time had come to Canada upon the invitation of her Hindu followers.Friends had told me that this remarkable woman had a powerful message of love, and I was curious to hear this from her.The public program was in a large hall, and literally thousands of people had come to see her, many of whom had to wait outside in corridors and adjacent conference rooms.After I had received a token for darshan, I listened to her address and, surrounded by the milling of large numbers of people and deafened by Hindu music so loud that it nearly burst my eardrums, I waited for hours to receive a personal hug.When I finally was in front of the Mata and received her embrace, everything around me seemed to disappear and a profound sense of peace came over me, a feeling that lasted for a long time.This experience led me to make the following comparative study of the Hindu avatar and the Christian Incarnation.In doing so, I found that these two concepts are quite similar, taken in the context of their respective cultures, and that devotion to either one, the avatar or the Christ, bridges the distance between God and the believer.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.033 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| 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".