The limits of transparency: A systems theory view
Bibliographic record
Abstract
Abstract The paper explores the implications of Ludwig von Bertalanffy's general systems theory for the current debates on the nature of organizational transparency as an element of good governance. If transparency implies the exchange of information, then it may be taken, at a metaphorical level, to constitute a dimension of metabolism theorized by Bertalanffy's open systems model. Yet, the model likewise lays bare some of the limits of transparency idea. Bertalanffy's work on the nature of emergent properties, his critique of the stimulus–response scheme, and his perspectivistic account of the systemic perception of the environment all point in the direction of the impossibility of full transparency. Later systems‐theoretic work on operational closure and self‐referentiality has reinforced and even radicalized these insights, which are shown to resonate with some of the key arguments in the contemporary economics, sociology of knowledge, and business ethics.
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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 | 0.015 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.031 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".