Bibliographic record
Abstract
It was night, and the trawl deck of the Canadian research vessel Dawson was an oasis of light in the inky summer darkness. The ship rolled in the gentle swell, revealing a phosphorescent wake as the stern rose and fell. From the A-frame a single wire stretched taut into the floodlit water, which parted around it in a V-shaped wake as the ship moved slowly forward. At the appropriate signal, the ship’s hydraulics groaned into action, and the cable was slowly retrieved from the depths, dripping seawater from the pulley block. A cry of “Sight!” indicated that the net was close to the surface, a pale billowing ghost just visible in the subaquatic greenish light. The drizzling net emerged from the water and was hoisted overhead like an elongated mosquito net. As the wire reached the zenith of the A-frame, the net hung suspended above the glistening deck. The scientific crew sprang into action, using a seawater hose to wash the contents into the net’s cod-end—the small container at the end of the net that holds the catch.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.079 | 0.029 |
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".