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Record W2890561293 · doi:10.1111/glob.12214

Blockchains, trust and action nets: extending the pathologies of financial globalization

2018· article· en· W2890561293 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Networks · 2018
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology Applications and Security
Canadian institutionsMcMaster UniversityBalsillie School of International Affairs
FundersMcMaster University
KeywordsGlobalizationCorporate governanceAction (physics)PaymentTracingCryptocurrencyPayment systemBusinessComputer securityComputer sciencePolitical scienceLawFinance

Abstract

fetched live from OpenAlex

Abstract Blockchains combine digital encryption and time stamping technologies to enable digital exchange to occur in manners celebrated by proponents as ‘trust‐free’. Yet, an increasing range of scholars argue that actual applications of the peer‐to‐peer technology shifts, rather than eliminates, trust. In this article, we draw on organizational theory to argue that efforts to remove trust reorganize the action nets that underpin payment systems in manners that extend rather than eliminate longstanding pathologies afflicting financial globalization. Our analysis supports and extends the critiques that blockchain applications are far from ‘trust‐free’. By tracing how efforts to reconfigure the socio‐technical composition of the humans and objects that underpin payment systems, we illustrate how blockchain applications shift the location and character of the technical vulnerabilities that create market instabilities and concentration, as well as elite‐led governance.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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