on “Emergent and Co-evolutionary Processes in Marketing ” edited by James Wiley. EXECUTIVE SUMMARY
Bibliographic record
Abstract
I describe an extension to a recently reported interacting-agent model of retail competition and innovation, which displays a subtle type of order known as self-organized criticality, or SOC. SOC is a stochastic steady state that is “poised ” so that a small exogenous perturbation may result in anything from no response, to a system-wide avalanche-like response. Such poised systems have been shown to be superior on some measure (such as “fitness ” in ecology) for the system as a whole. The extension is designed to validate the model by generating falsifiable predictions about retail industry dynamics. Specifically, the extension allows firms to exit, while preserving the self-organized critical state of the entire system. The model predicts that exit data should show the power-law behavior that is the footprint of a critical system. Drawing on work that relates the characteristics of individual events in a SOC system to an aggregate time series, I predict the functional form of the power spectrum of exits for firms in a spatially competing industry. I then show that Canadian retail bankruptcies follow this form, implying that the Canadian retail industry can indeed be described as a critical system—neither stable and in equilibrium, nor completely unpredictable. One of the requirements to generate SOC behaviour in the model is spatially localized competition, a feature which is much more predominant in retailing than in other industries. An important and
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".