“Urgencies” in the Field: Three Perspectives
Bibliographic record
Abstract
Abstract Taken from a virtual presentation at the 2021 annual meeting of the American Folklore Society, three folklorists come together to present their ongoing work under the auspices of “urgencies of the field.” Jon Kay concerns himself with the urgencies of our temporal, corporeal bodies, in addressing creativity in older adults and offering suggestions for cross-pollination between folklore studies and gerontology and creative aging. Maida Owens focuses on climate change and the radical displacement of communities, turning to the concern of what happens to cultural traditions when the people of a community must relocate. Grounded in Indigenous approaches, Tim Frandy considers a decolonizing of our minds with real-world applications that guide us toward better stewardship of the natural world and better physical and mental health practices. Three folklorists, working within the intersectionality of public and academic spheres, and expanding the reach and impact of folklore's work, are finding ways to use their skills and knowledge to address unwelcome urgencies in our world.
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 | 0.028 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.035 | 0.111 |
| Scholarly communication | 0.036 | 0.023 |
| Open science | 0.004 | 0.026 |
| Research integrity | 0.016 | 0.024 |
| 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".