Bibliographic record
Abstract
Systematic Knowledge Research is the approach used to (i) describe the specific characteristics of various forms of knowledge (such as e.g. conceptual and non-conceptual knowledge; explicit and implicit knowledge; knowing-how and knowing-that). It (ii) investigates the overlapping points among the various kinds of knowledge forms, and it (iii) elucidates the mechanisms of interpenetration among them. Systematic Knowledge Research (iv) grasps the dynamic of various forms of knowledge and their interplay, and (v) describes the practices and the manifestations of knowledge. Systematic Knowledge Research provides analyses and suggestions for modeling each of the five fields as well as their interconnections. Because of these objectives Systematic Knowledge Research is different from both the traditional theory of knowledge and the varieties of science studies and meets the current desideratum to systematically broaden and revise the territory of epistemology.
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 | 0.202 | 0.178 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.009 | 0.173 |
| Scholarly communication | 0.030 | 0.061 |
| Open science | 0.008 | 0.015 |
| Research integrity | 0.012 | 0.020 |
| Insufficient payload (model declined to judge) | 0.006 | 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".