All objects could become garbage: Waste disguising civilisation
Bibliographic record
Abstract
1 Introduction 2 Codes of waste and degradation 3 Rationales, discourses and excurses 4 Final Remark 5 References The paper was originally written for an Internet lecture offered by the Open Semiotics Resource Center (University of Toronto). It presents a semiotic approach to the current discussion on waste and brownfields in environmental studies, cutting free the layers of civilization and cultural history, which become accessible through the analysis of signs for land use in a diachronic perspective. Der Beitrag geht auf eine Internetvorlesung zuruck, die fur das Open Semiotics Resource Center (University of Toronto) als Online-Vorlesung entwickelt wurde. Er thematisiert Abfalle und Brachflachen in ihrer semiotischen Dimension und assoziiert sie mit der zivilisatorischen Maskierung, der Verschuttung und Verdeckung kulturhistorischer Schichten, die erst durch die Interpretation von Zeichen vergangener Nutzung und Benutzung sichtbar werden.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".