Bibliographic record
Abstract
It is not inflammation but functional and/or anatomical loss of integrity of target organs that is the major determinant of morbidity in many immune-mediated inflammatory diseases (IMIDs). This structural and often irreversible tissue damage is generally considered to be a direct or indirect consequence of inflammation (through failed repair mechanisms). However, recent clinical observations in rheumatic diseases, demonstrate clearly that the postulated causal relationship between inflammation and structural damage does certainly not hold true in all IMIDs. On the contrary, potent anti-inflammatory treatments suggest an uncoupling of inflammation and damage in diseases such as ankylosing spondylitis. The author proposes a third and intriguing alternative hypothesis: inflammation and stromal remodelling are causally linked but it is the latter that drives the former. If this hypothesis is correct, we should focus our therapeutic efforts on pathways of tissue remodelling rather than on inflammation in IMIDs such as ankylosing spondylitis, but potentially also scleroderma or asthma
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 | 0.009 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.018 | 0.024 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.089 | 0.033 |
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".