Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The role of categories of knowledge, or disciplines, in science has not previously been explored in scientonomy. While disciplinary communities devoted to the production of knowledge are a modern phenomenon, the practice of dividing knowledge into categories is a universal feature of science. Although at any moment of time, many questions and theories can be part of a given discipline, not all of these are essential to the discipline. We show that two components are essential to a discipline: the discipline’s core questions as well as the discipline’s delineating theory, a second-order theory that identifies these questions as essential to the discipline. If the questions of one discipline are a proper subset of the questions of another discipline, the former discipline is a subdiscipline of the latter. Since a discipline is a complex entity consisting of questions and a theory, epistemic agents can take epistemic stances towards disciplines. A discipline is said to be accepted if its core questions and its delineating theory are all accepted. To illustrate the applicability of these new concepts, the transition from physical to biological anthropology is discussed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.007 |
| Science and technology studies | 0.009 | 0.023 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it