What a Little Bird Tells Us About Symbolic Thought: the Russet-Capped Stubtail ( <i>Tesia everetti</i> ) in Nage Augury, Myth, and Metaphor
Bibliographic record
Abstract
Among symbolic representations of animals, birds appear to play a disproportionately large part. This paper explores the symbolism of a particular bird, the Russet-capped Stubtail (Tesia everetti), among the Nage of eastern Indonesia. The stubtail features in several contexts of Nage augury, myth, and metaphor but, in each instance, it stands in opposition to another bird category (or, more specifically, “folk-generic”). I also show how different symbolic contexts, in which the stubtail occurs, reflect different physical and behavioral features of this bird. Although the focus is a single small bird, the paper reviews and discusses several features of symbolic thought in general, giving attention especially to the ways symbolic knowledge of animals is mentally constructed differently from knowledge that informs folk taxonomies.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".