Internasjonal teineteknologi sett opp mot norske forhold\nKan canadisk teineteknologi være et altenativ i det norske torskefiskeriet?
Bibliographic record
Abstract
Pa tross av at det har vrert jobbet mye med utvikling av teine i Norge har dette redsk.apet ik.ke oppnadd tilstrekkelige fangstrater tit a fa innpass i kommerSielt fiskeri, selv om prinsippet med teinedrift er 0nsket av fiskelinii?linga. Malsetningen med dette prosjek.tet var a vurdere om det finnes teinefiskerier andre steder i verden med en teknologi som vii Vii?re mulig a overf0re til norske forhold. Sid en 1999 har det pa Newfoundland i Canada vrert arbeidet med a utvikle en teine for bruk i torsk.efiskeriet der med utgangspunk.t i det fisk.eriet som foregar i Alask.agulfen etter stillehavstorsk.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.201 | 0.085 |
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".