Bibliographic record
Abstract
義、国家の統一、市民の要求との合致などの基 本的価値とされるものが排除されるわけではな い［Simeon and Nugent 2012, 63］ 。 連邦制において法的に主要な問題となるのが、 連邦と州の、とりわけ立法権に関する権限配分 である。双方の権限の均衡を図るためには、憲 法典による権限配分、司法府の判断、立法府に おける州代表、そして連邦・州の政府間におけ る諸関係など多様な方法が考えられる。ここに 関わるアクターは多様である。司法府を除け ば、カナダは連邦議会と州議会、連邦首相と 州首相、連邦内閣と州内閣、連邦大臣と州大 臣、連邦官僚と州官僚などが存在し、それぞ れが複合的に関連する。なかでも、カナダにお いて実質的な役割を担っているのが、連邦・州 間の政府間関係
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.040 | 0.008 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".