– A Neo-Saussurean Perspective The Norwegian Nominal System – A Neo-Saussurean Perspective
Bibliographic record
Abstract
corrections, pertinent comments and well placed commas, for your thorough answers, your valuable insights and your different wisdom, for your availability, generosity, encouragements, patience and support, for listening to me, for helping me express what I want, for making me feel welcome to your offices and worthy of your time and interest – I am forever thankful. Without your excellent theory, Denis, this work would never have been conceived, and without your professional nurturing and insisting confidence, Tore, it would never have been born. You are both terrific role models in the way you conduct your own research as well as in the way you treat and respect your students. I have truly been twice as lucky as any PhD.-student possibly could be. I also want to thank my colleagues at CASTL for an inspiring social and intellectual environment – especially all my fellow PhD. students over the years – as well as the administrations at CASTL, at the Faculty of Humanities and at the University of Tromsø for providing excellent working conditions. * I spent two years as a visiting student with Denis Bouchard at Département de Linguistique et de Didactique de Langue at UQAM, Montréal, and thank everybody there for welcoming me.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".