Bibliographic record
Abstract
In The Postmodern Condition, Jean-François Lyotard criticises Niklas Luhmannfor making performativity or context-control the goal of systems, claiming that this legitimates the exclusion of partners constituting the context of a system from the decision-making process which administrates it (Lyotard, 1984: 60 ff.). In “Oikos,”Lyotard takes this criticism a step further when he relates the context or environment of the system and the partners constituting it to the etymological root of “ecology,” the oikeion , which stands for the asymmetrical relation of familiarity with or knowledge of something or someone. As the entropic source of the system’s performativity and “reduction of complexity,” the oikeion refers to the alter of undermined humanity as well as other forms of life, whose selective attention is not sufficiently capable or developed to act as ego or be addressed as alter-ego by a receiver within the social system. Lyotard’s approach is not to reaffirm the dualism of Man and Nature, but to instead detect the differend produced by its dissociation from the “inside” of system and the “outside” of environment – for the system is no more like Man than its environment is like Nature in Systemtheorie. Rather, everything is Nature, and those who are able to put its potential into action most efficiently are able to assume the secure position of “Man” in the humanistic war against those who lack this efficiency. Lyotard aims to listen to those who have lost power over their oikos, or the “inside” which has become somebody else’s“outside.”
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".