Bibliographic record
Abstract
Tables 2.1 Some key aspects of multi-dimensional security for small states 26 2.2 Comparison of the Nordic states and Danish autonomous territories 31 2.3 Comparison of Nordic armed forces 36 4.1 Accounting for varying shaping success 66 4.2 Endogenizing strategy choices 68 8.1 Average number of years of schooling in 1991 of men born in 1926, 1946 and 1966 in Quebec, Ontario and the United States 133 9.1 Nordic mentions in Scotland's Future 152 11.1 The national elites (percentages agreeing with the statements) 190 11.2 Elite attitudes to the state and the business sector, statement 1: 'State influence over private business should be reduced' (percentages who agree) 193 11.3 Elite attitudes to state power, statement 2: 'The state is too powerful' (percentages who agree) 193 11.4 Elite attitudes to international finance markets, statement 3: 'International financial markets are too influential' (percentages who agree) 195 11.5 Elite attitudes to national self-determination, statement 4: 'National self-determination is too weak' (percentages who agree) 195 12.1 Strategies of fiscal discipline and their adoption in Norway 211 12.2 Attitudes to the SR in newspaper articles or reports 215 12.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.849 | 0.624 |
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".