Bibliographic record
Abstract
Contemporary civilization has created a fundamental contradiction between the intellectual approach to knowing and the technical approach to doing on the one hand, and the results of their application on the other. These approaches to knowing and doing begin with a process of abstraction that trades breadth for depth, while their application reveals a multitude of problems associated with ignoring the fact that everything is related to everything else in our world. Scientific disciplines and technical specialties create “pure” domains of investigation “uncontaminated” by interactions with all other domains, thereby distorting the internal fabric of relations and its connections with everything else. Hence, the most powerful means humanity has ever created are indissociably linked with the production of chaos in human life, society, and the biosphere. A new domain of study is needed to the interactions between society, technology, science, and the biosphere (STSB). The scope, direction, and methodological challenges are briefly examined, and the possible mission of STSB within the contemporary university.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.066 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.008 |
| 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".