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Record W4390724205 · doi:10.1080/20414005.2023.2299156

Runaway train? Decentralised finance and the myth of the private platform economy

2023· article· en· W4390724205 on OpenAlex
Peer Zumbansen

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransnational Legal Theory · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsMcGill University
Fundersnot available
KeywordsMythologyBusinessFinanceFinancial systemEconomicsArt

Abstract

fetched live from OpenAlex

According to one view, the decentralisation of finance [‘DeFi’] is the next phase in the constitutionalisation of money, while others highlight the actual asymmetry between those who can benefit from the evolving technology and those who find themselves further descending into cycles of debt and self-exploitation. DeFi’s protagonists maintain that a non-hierarchical, access-controlled system of financial transaction, housed in technology rather than in institutions, will lead to universal inclusivity and transparency. Skeptics question DeFi’s alleged autonomy and point to the public nature of money and the financial system – while acknowledging its shortcomings for its most vulnerable users. Contextualising DeFi’s democratisation promise of platform money within broader contemporary contestations of democratic practices and the role of law in them, the paper critically interrogates DeFi’s ability to provide a framework not only for individual financial inclusion but for collective pursuit of transformative, democratic governance of economic and financial transaction.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.195
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it