(Re-)Problematizing the Luhmannian constructivist systems approach: A Bungean intervention
Bibliographic record
Abstract
In the field of sociological theory, after the decline of Parsons’ version of structural functionalism, Niklas Luhmann’s systems theory came to be seen as the major representative of systems thinking. While Luhmann’s autopoietic systems ontology is sophisticated and deserves serious consideration, the author argues that the prevailing identification of Luhmann’s constructivist-oriented approach with the systems approach itself is problematic mainly for two reasons. First, as the works of the Argentinian-Canadian systems theorist Mario Bunge demonstrate, the systems approach can be fruitfully based on (some version of) scientific realism. Second, the adherents to Luhmann’s constructivist epistemology in sociology seldom engage in a detailed examination of the various critiques of anti-realism offered by scientific and critical realists. Drawing on the literature on philosophy of science, especially the writings of Bunge and a few leading critical realists, the author suggests that a serious Luhmannian sociologist is obligated to provide more cogent and detailed discussions on philosophy of (social) science before taking an opinionated position on epistemology.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.039 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".