Bibliographic record
Abstract
Narayan (b. 1939) is a tribal fiction writer from Kerala, India. His debut novel, Kocharethi, which depicted the lives of two generations of a family of the Malayarayar tribe, was published to much critical acclaim in 1998 and won the prestigious Kerala Sahitya Akademi Award for the year 1999. The novel’s English translation titled, Kocharethi: The Araya Woman was published in 2011. Besides Kocharethi, Narayan has published seven other novels and five short story collections. Narayan’s Malayalam short story, “Kula Devata” translated here as, “The Clan Deity” offers a rare glimpse of the tribal religion and the coming into being of the cult of goddess worship among them. The tribals depicted in “The Clan deity” do not seem to be the vagrant/nomadic type; they are a settled people that engage chiefly in cultivation and possibly livestock rearing. The short story, which is symptomatic of the thematic preoccupations of Narayan in general, powerfully exposes how the ingrained prejudices about tribals as being primitive, barbaric, and with no legitimate claims for land-ownership, lead to biased and revisionist historiographies.
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 | 0.000 | 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 | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".