UBC Institute of Fisheries Field Record B.C. 66-50a
Bibliographic record
Abstract
Sent frozen by air to Vancouver 26 Jan 1966, held in deepfreeze until 2 Aug 1966, when some sampled for electrophoretic patterns.; Letter from Gunnar Svardson to C.C. Lindsey dated 24 Jan 1966 says "There will be one dwarfed form ("C. nasus", which, as I am aware is rather different from the typical form), one medium-sized and one big-sized form. There will be some 50 specimens of C. nasus, some 25 of the medium sized C. lavaretus and finally some 20 C. pidschian."; The three sympatric species in Lake Idsjon are described in Svardson's 1965 report, page 102.; Labels with fish were (small fish) "Dvargsik. C. nasus Pallas"; (Medium fish) "Vaktsik. C. lavaretus (Linnaeus)"; (Large fish) "Storsik. C. pidschian. Kalarne"; C14 Coregonus pidschian (20)
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 | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.590 | 0.452 |
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".