A tutorial on ABCmod: an activity based discrete event conceptual modelling framework
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
The notion of a conceptual model is present in any discussion about the modelling and simulation process within the discrete event dynamic system domain (Robinson 2011). This paper presents an overview on an activity-based conceptual modelling framework: Activity Based Conceptual modelling = ABCmod (Birta and Arbez 2013). It transforms the general notion of a conceptual model to into a specific conceptual modelling artefact. The ABCmod framework encompasses the naturalness of the activity perspective which has considerable intuitive appeal (Pidd 2004a and 2004b). ABCmod accommodates both the structural and the behavioral aspects that are fundamental components of any conceptual model and provides a collection of constructs both for handling input/output and for dealing with special circumstances such as pre-emption, interruption and balking. We provide an overview of the framework and illustrate many of its features in examples.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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