Bibliographic record
Abstract
We surface amidst sodden sails, shouting in surprise and haste. “Are you okay?” “Where are you?” “Hang on to the gunwale, no wait, swim the bow into the wind, now swim over here, we’ll bring her up together.” Martin and I, skipper and crew, throw our weight onto the centerboard. The boat reluctantly responds, the mast tilting skyward, rising from the sea. I taste the salt of ocean spray that catches me unaware after so many years of sailing fresh-waters. Equilibrium restored, seawater emptying through the automatic bailers, our sailboat moves across the water in ecological tension between human, craft, wind, and geography. Martin tends to the navigation, attentive weighting of hand on tiller, as I set the jib and cleat the sheet. Shifting body weight, secured by the trapeze, I feel the arc of body, an embodied interpretation of movement in response to the wind’s presence in the tautness of the sails. Sailing in the various conditions of wind requires an instinctive choreography of release and defiance, surrender and embrace, by skipper and crew.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.067 | 0.023 |
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".