UBC Institute of Fisheries Field Record B.C. 57-58
Bibliographic record
Abstract
obtained by M. A. Newman; C46 Caranx sp. (1); C5 Squalus acanthias Linnaeus (1); C33 Microgadus tomcod (Walbaum) (1); C37 Zeus faber (1); C38 Pleuronectes platessa (1); C72 Callionymus lyra (1); C76 Blennius ocellaris (1); C10 Clupea harengus Linnaeus (1); [strikethrough] C5 [handwritten note] 29/7/72 [initials] TK: C4 Scyllium canicula (2); [strikethrough] C79 [handwritten note] C66 Agonus cataphractus (Linnaeus) (1); C38 Limanda limanda (1); *[strikethrough] C38 Lepidorhombus sp. (1 in drum 18) (1) [handwritten note] *Sent to National Museum of Canada; C38 Microstomus kitt (1); [handwritten note] C33 Gadus[?] sp. (1)
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.463 | 0.339 |
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".