Behaviour validity of a simulation model for sustainable development
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
System dynamics simulation models are well suited for the analysis of problems related to sustainable development. This is due to their ability to take an integrative view of social, economic and environmental factors and link the observable patterns to microlevel structure and decision process. Despite their capabilities, the acceptance of system dynamics simulation models by the broader community of decision makers is limited. We argue that reluctance by the system dynamics modellers to expose their models to formal behaviour validity procedures is the main problem. This leads to an outline of formal behaviour validity procedures available but less explored in system dynamics modelling 'repertoire'. An illustration of the multiple tests and the Theil inequality statistics for behaviour validity of a system dynamics simulation model for sustainable energy policy development follows. Finally, various conclusions on the increased appeal for simulation models for sustainable development initiatives are also presented.
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 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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it