Bibliographic record
Abstract
Starting in the 1970s there has been a significant wave of storytelling revivalism in the United States, Canada, and across much of Western Europe. Drawing on earlier revivals of oral traditional or "folk" music, dance, and crafts, this revival has spawned a new class of freelance professional storytellers along with a broader network of enthusiasts who make use of oral stories as tools in a variety of amateur and applied professional settings (especially education, business, ministry, and health care). Because this revival has taken root in an advanced technological society with a longstanding commitment to (if not actual realization of) universal literacy, it occupies a cultural position that blends conservative and radical elements. Storytellers affirm their commitment to traditional values of community memory, interconnectedness, localism, and ethnic heritage, while at the same time placing these attitudes in the service of potentially hegemonic, homogenizing forces. This paper will explore these paradoxical forces at work in the American storytelling movement and reflect on their implications for emergent storytelling work in the context of the Kingdom of Bhutan.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".