Bibliographic record
Abstract
I find this issue, 10.2, of E:CO striking not only for its abundance of complexity re-search and theory being applied across quite diverse types of systems, but also for its many indications of just how far the study of complex systems has been developing in new directions and with greater sophistication, both qualitatively and quantitatively. I propose that we can see signs of this growing development in several interrelated aspects of the papers herein: in terms of the varied themes taken-up; in terms of the diversity of the multiple approaches and methods used; in terms of the sundry subject matters investigated; and in terms of the mul-titude of insights and implications proffered by the probing reflections found on in this issue. I think that this sense of the matura-tion of the field of complexity studies tends to be more salient in this issue rather than earlier ones because of the very interesting juxtaposi-tion of its contemporary complexity papers with the classical paper (indeed, a classic paper in many ways) that is a key statement on Gen-eral Systems Theory (GST) authored by its pro-genitor, the esteemed biologist/embryologist/ philosopher Ludwig von Bertalanffy. Professor Bertalanffy had emigrated to the United States from Austria during the Nazi regime via inter-mediate stays in London and Canada. Although GST was modeled on biological organisms, Bertalanffy was after the bigger game of general insights into all “open ” systems, that is, systems whose vitality depended on an open exchange of resources with their environments. In this, Bertalanffy was inspired by Prigogine’s work just as many of us remain today. Bertalanffy’s paper also reminded me of another crucial link-age of complexity-based approaches with earlier systems thinking found in a classic paper by Walter Elssaser that was also re-published in an earlier edition of E:CO (see Elsasser reprinted in 2005, 2006, 2007). I find the comparison and contrast of von Bertalanffy’s prescient conceptualizations of “general ” systems with the contemporary
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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 | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".