The enterprise complexity model: An extension of the viable system model for emerging organizational forms
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.
Bibliographic record
Abstract
Abstract An enterprise complexity model (ECM) is offered as a methodological tool for the actors of an enterprise to overcome complex environmental problems. The heuristic for this purpose is the viable system model, which guides an enterprise's self‐organization towards policies creating, regulating and producing sustainable development goals. Self‐organization is grounded in correcting imbalanced interactions between an enterprise's actors and their environmental agents, to increase their requisite variety to achieve sustainability, that is, to overcome environmental problems. The interactions between actors and agents are facilitated by current and emergent digital technologies, which support the structuring of collaborative networks. Reflexive interactions between the enterprise's actors and agents in the problematic environment help their branching into all kinds of innovative organizational forms. The Viplan methodology is used to achieve this branching, which accounts for the enterprise's complexity with the support of the Viplan method. Respect for the environment and quality of interactions are values driving this ecology of enterprises towards a deeper and wider appreciation of the issues besetting future generations.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it