Clinical research: up from ‘clinical epidemiology’
Bibliographic record
Abstract
Clinical research must be understood to be the foundation of scientific medicine of the clinical type. But the essence of scientific clinical medicine remains a matter of profound confusion, even in clinical academia, and so does the essence of clinical research. The confusion now revolves, principally, around 'clinical epidemiology'. We address clinical research in the meaning of quintessentially 'applied' clinical research, which we take to be the foundation of the scientific knowledge base of clinical medicine, of gnosis (dia-, etio-, pro-) in it. More specifically, we address the essence, priorities, and status quo of this research - and argue that the requisite theory of this is not a matter of 'clinical epidemiology' but of theory of clinical research endogenous to clinical (rather than epidemiological) academia.
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 | 0.089 | 0.149 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.007 | 0.091 |
| Scholarly communication | 0.021 | 0.039 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.014 | 0.032 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".