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Record W2901953505 · doi:10.1111/glob.12219

Introduction to special section on blockchains and financial globalization

2018· article· en· W2901953505 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.

Bibliographic record

VenueGlobal Networks · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinTech, Crowdfunding, Digital Finance
Canadian institutionsBalsillie School of International AffairsUniversity of Toronto
Fundersnot available
KeywordsGlobalizationSection (typography)Special sectionPoliticsThe InternetFinancial marketVolatility (finance)BlockchainPolitical scienceSociologyEconomicsBusinessEngineeringFinanceMarket economyComputer scienceLawComputer securityAdvertisingWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract This special section shifts analytical attention onto efforts undertaken by dispersed sets of actors operating in online communities to mobilize a novel internet‐based technology that mysteriously appeared at the height of market volatility in 2008. Applications of blockchain technologies and the challenges presented to longstanding patterns of financial globalization are analysed by a group of scholars with backgrounds in anthropology, political science and sociology. This introductory article first elaborates what blockchain technologies consist of before foreshadowing the insights that the following interdisciplinary investigations yield for comprehending the implications that technological changes pose for global finance specifically and globalization more generally.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.781

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 head0.006
GPT teacher head0.205
Teacher spread0.199 · 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