MétaCan
Menu
Back to cohort
Record W4378836541 · doi:10.18280/ijsdp.180501

An Econophysical Approach for the Market Structure Determination of an Industry: An Extension of Robert Bishops Formula

2023· article· en· W4378836541 on OpenAlexvenueno aff
Oliver Franck

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicComplex Systems and Time Series Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBishopsExtension (predicate logic)Industrial organizationEconomicsMathematical economicsBusinessComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

A precise understanding of the market structure of an industry forms the basis for any entrepreneurial decisions.The combination of Bishop's cross-price elasticity of demand and price elasticity of demand forms the mathematical basis for determining the market structure.However, these formulas are time-independent, which does not adequately capture the complex dynamics of today's economy.This paper attempts a systemic dynamic extension of the cross-price elasticity of demand and the price elasticity of demand by adding a temporal dimension to these formulas.This ensures that entrepreneurial and industry-specific decisions can be made more accurately by following a system-dynamic approach.This paper provides a methodological extension based on Estola's econophysical theory and combining it with Bishop's approach for determining the market structure of an industry.Econophysics ensures that the temporal dimension is taken into account in economic formulas and therefore providing a more accurate view on current economic issues.

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.

How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.295

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 head0.026
GPT teacher head0.258
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sustainable Development and PlanningSame topicComplex Systems and Time Series AnalysisFrench-language works237,207