Bibliographic record
Abstract
Purpose The purpose of this paper is to explicate the ways in which the practice of the dramatic arts has evolved to facilitate second-order observation of social systems and can be used to “pragmatize” systems thinking for a wider audience. Design/methodology/approach Survey of selected dramatic theory and practice from the nineteenth century to the present framed within the cyber-systemic theories of Niklas Luhmann, Werner Ulrich and Oswaldo Garcia de la Cerda and Maria Saavedra Ulloa. Findings Beginning with Naturalism in the late nineteenth century, theatrical practitioners have increasingly revealed the structure of social systems through their work, largely without any explicit adoption or deployment of systems theory. Current methods of theatrical presentation are highly compatible with cyber-systemic heuristics and could be used to make this body of theory known to a wider public. Research limitations/implications Work involving the direct application of systems theory to theatrical practice is still in its very early stages. Practical implications Despite the lack of direct influence by systems theory, Western theatrical practice has evolved in such a way as to facilitate increased opportunities for second-order observation of, and subsequent intervention in, the structure of social systems. The deliberate cultivation and integration of systems theory could allow theatre to become a significant tool for the explication of systems theory to the general public in a highly practical manner. Social implications As a communal and, in certain forms, interactive endeavour, a systems-oriented theatrical practice can provide an inclusive public space for the critique of social systems as they are currently structured and for the modelling of alternative structures. Originality/value Theorizing selected moments of theatre history as the development of platforms for second-order observation is a unique analytical approach. The applications suggested in this paper may lead to novel approaches to the development of systems literacy across society.
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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 | 0.018 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.042 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".