Bibliographic record
Abstract
Money is a formidable subject — an intimate object in our everyday lives, a claim over resources, and a topic of academic inquiry. Textbooks define money by its various functions, e.g., as a medium of exchange, a means of payment, a unit of account, and a store of value. While anthropologists also reckon with these functions, they are equally concerned with money as a social process, a material object, and a political token, concerns that lead them to emphasise money’s diversity and instability over its universality and coherence. This entry highlights four areas of inquiry in the anthropological literature on money: (1) debates over what counts as money; (2) investigations into money’s role in maintaining and overturning social boundaries; (3) studies of monetary pluralism in light of the failure of state-centric monopoly currencies; and (4) approaches that engage the role of technology in creating new platforms and networks for creating and distributing money. By way of concluding, the essay addresses how anthropologists reflect on the future of money. 8.5.2
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 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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; both teacher heads agree on what is shown here.
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".