Constructing digital assets through blockchain technologies? Unpacking the techno-economic configuration of non-fungible tokens
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Non-fungible tokens (NFTs) are novel techno-economic configurations underpinned by cryptocurrency ledgers that transform digital files like graphic art, music, videos, etc. into digital assets. NFTs are often framed as a way for artists and other creators to profit from their activities, transforming 'experiences' into something for sale. As such, NFTs raise some questions pertinent to science and technology studies and political economy. We focus on analysing how NFTs are constructed as digital assets by unpacking the practices, devices, relations, and rights implicated in their construction. We use the concept of 'assetization' to examine the contingencies, problematics, and implications of NFTs and the claims, practices, and entitlements that configure them as a new type of asset. We undertake this analysis through a research-creation process by summarizing and discussing the process of creating and submitting an NFT to a specialized marketplace.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it