Bibliographic record
Abstract
suggesting the importance of folklore to economists.Yet folklore and economics as a subfield has largely remained unarticulated, in part because of the constructs and institutional histories of each field.At this moment, trade, technology, and geopolitics have led to a rapid increase in the global spread of cultural products, including media, knowledge, objects, and folkways.Accompanying that globalization have come fears, realized and not, of cultural appropriation, neocolonialism, and loss.Culture operates as a resource and a currency in the global marketplace.This movement of people and forms necessitates a new textual consideration of how folklore and economics interweave.Here, we hope to explore how the marketplace and folklore itself have always been integrally linked in ways both productive and subversive, in theory and on the ground, and what that means at this global, cultural, and economic moment.In order to create a more concise disciplinary history of folklore and economics and to provide the institutional background against which the current work is set, in the sections that follow, this introduction offers a tracing of the genealogy that has helped formed the field of folklore and economics.Folklorists' ideas about the relationship between folklore and economics have tended to occur along three primary trajectories.First, at the macrolevel, folklorists have relied on socioeconomic status as a marker of folk status as a way to bound or propel the field, and, in a Marxist turn, they have considered the role of class in the production of folklore, particularly through labor lore.Second, scholars have invoked microlevel understandings of commodity and commodification, particularly in the study of material culture.This perspective has helped folklorists assess the relationship between folk artists, folklorists, and audiences and how practices and art forms may be influenced by consumers.A third, more theoretical but still microeconomic line of thought, has built on Mikhail Bakhtin's conceptualization of the marketplace as a center of village life (1965).In the marketplace, critical inversions of social status become possible and folk performance can take place.Each of these trajectories has influenced how folklorists have constructed the folk both in relation and opposition to the marketplace, but they tell a partial story.Like the stage set of a play, these trajectories provide a background against which the chapters that follow are set, and like a stage set, they both give context to these discussions and influence how we understand them.But also like a stage set, these three specific trajectories are offered as not a whole story but a backdrop, an evocation of how economics and folklore have been explored by those before.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".