Aspects of Modern Systemic Approach (I): Beyond the Dynamic Systems Definition, Structure and Properties
Bibliographic record
Abstract
General Systems Theory, as well as Systems Theory - as integrated part of the first one, are still under the scrutiny of researchers, either through the interest shown for micro-systems or for macro-systems, as derivatives of the system.
 In accordance with the research undertaken in either of the two ends of the reference range for the system - as a fundamental element of systems theory, our concerns are to familiarize the reader with the diversity of concepts and develpoment stages specific to the two areas of interest - General Systems Theory and Systems Theory. Also, as the objective of the present study, an attempt was made to bring to the fore some definitions and conceputal characterization, respectively with the structure and properties of different system types. At the same tine, are underlined different systemic approaches and representations, along with the position of Systemology in relation to the General Systems Theory and Systems Theory.
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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".