“<scp>N</scp>ettermania” and the <scp>M</scp>atthew Effect: It is Time to Plead for <scp>C</scp>arlos <scp>A</scp>. <scp>G</scp>. <scp>M</scp>achado
Bibliographic record
Abstract
CLINICAL ANATOMY is the Official Journal of the American Association of Clinical Anatomists and the British Association of Clinical Anatomists. The goal of CLINICAL ANATOMY is to provide a medium for the exchange of current information between anatomists and clinicians. This journal embraces anatomy in all its aspects as applied to medical practice. Furthermore, the journal assists physicians and other health care providers in keeping abreast of new methodologies for patient management and informs educators of new developments in clinical anatomy and teaching techniques. CLINICAL ANATOMY publishes original and review articles of scientific, clinical, and educational interest. Papers covering the application of anatomic principles to the solution of clinical problems and/or the application of clinical observations to expand anatomic knowledge are welcomed.
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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.030 | 0.041 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".