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Record W1989598883 · doi:10.1108/02686900310474307

Assurance and e‐auctions: are the existing business models still relevant?

2003· article· en· W1989598883 on OpenAlex
Jagdish Pathak

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

VenueManagerial Auditing Journal · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicAuction Theory and Applications
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsComputer scienceCommon value auctionCorrectnessComputer securityBusiness processAuditContext (archaeology)Transaction processingThe InternetBusiness modelProcess managementProcess (computing)Separation of dutiesConsumer-to-businessSecurity controlsDatabase transactionControl (management)BusinessAccess controlDatabaseWorld Wide WebMarketingAccountingEconomics

Abstract

fetched live from OpenAlex

The security of e‐commerce is a serious concern of all the major players in the digital business arena who rely heavily on distributed processing in their routine daily operational chores. The security breaches and the related frauds have cost billions of dollars to the businesses and the industries as a whole and consumers suffer also. It is possible that business models of transaction processing that are viable in conventional commerce might be wrong abinitio in the context of digital business. There is a growing need for robust tools and equally rigorous auditable methodologies in the design and verification of the correctness of the digital processing systems that operate over the Internet. This paper focuses on the economic reasoning of business process design. The author has decided to develop a secure online auction protocol as an attempt to apply the design of mechanism reasoning framework in the direction of information systems audit and control of e‐commerce.

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)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
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 head0.110
GPT teacher head0.340
Teacher spread0.230 · 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