An Integral Perspective of Social Action: Imagining, Assessing, Choosing (Onto-epistemology of Networks)
Bibliographic record
Abstract
Starting from a formal and abstract perspective, the concept of networks is introduced with a view to possible connections to other fields of the sciences and to practical applications. The structural hierarchy of forms is identified expressing the conceptual organization of our observable world. In the case of social networks, it can be shown that they exhibit a characteristic type of self-reference, a result of their special relationship to the conditions of the human modes of cognition and communication. As to a possible derivation of strategic attitudes, it can be shown that a re-vitalization of the ancient concept of kalokagathía could turn out to be helpful in tackling present everyday problems. Hence, choosing the perspective of an explicit network paradigm entails a new reconciliation of aesthetics and ethics, respectively, including multifarious implications for a suitable foundation of praxis within pertinent crisis management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.035 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".