Bibliographic record
Abstract
Kinship and History in South Asia presents four papers given at a small conference of kinship studies scholars, “Kinship and History in South Asia,” at the University of Toronto in 1973. They draw upon one another and show several common concerns, particularly the theoretical importance of Dravidian systems. Yey they remain specialist studies, each within its own raison d’être. Brendra E. F. Beck contributes a study of the “kinship nucleus” in Tamil folklore, Levi-Straussian both in its treatment of kinship and of mythology. George L. Hart’s study of woman and the sacred in the ancient Tamil literature of the Sangam attempts to elucidate this literature in its own terms, and also to relate it to Beck’s “kinship nucleus.” Thomas R. Trautmann presents a critical examination of the evidence for cross-cousin marriage in early North India, attempting to determine historical fact from literary materials. Narendra K. Wagle offers a survey of the kinship categories to be found in the Pali Jatakas.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 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 teacher head, 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".