Bibliographic record
Abstract
affectedness, 5All-Affected Principle and, 40-1, 149, 165, 178, 180-1, 233 All-Subjected Principle and, 39-40 allocation of influence and, 4, 8 climate change and, 12-13 equities and equalities and, 47-8 expanded domain of, 96 identifying demoi of, 41, 187, 219 mutual, 78, 79 proportional inclusion and, 46, 60-1, 132-3 tracking of power and, 14 Affinity Principle (AP), 125, 134 African Comprehensive HIV/AIDS Partnerships (ACHAP), 247-9 All-Affected Interests Principle (AAIP), 72-4 All-Affected Principle (AAP)affected outsiders and, 165-7 boundary problem and, 58-60, 131-2, 148-51 challenges to, 42-4, 148-51, 232-5 citizen powers as vectors of, 49-51 climate change and, 12-13, 163, 211 Common Activities Principle and, 164-5 conceptual challenges to, 148-51 constituencies of inclusion and, 40-2 democratic ideals and, 56-7 democratic inclusion and, 38-40, 67, 162-7, 177, 232 democratic input, delimitation of, 166-7 democratic rights of participation and, 162, 232 indeterminacy problem and, 180-1 justification of interests and, 96-8 Kant's categorical imperative and, 45-6 nation-state supremacy and, 41, 164, 232 normative interpretations of, 5-6, 40-1, 177 objections to, 42-4 overinclusiveness issue and, 93-6, 166-7, 180-1 overview, 58-60 pluralistic account of, 149-51 political inclusion and, 177 relational interpretation of, 57, 61-2, 65, 67-8, 271 types of, 3-6 workability of, 40, 49 All-Considered Principle, 67-8 All-Subjected Principle (ASP), 44, 72-3, 75-7, 132-4 boundary problem and, 60-1, 132-4 complaints about, 60-1 deterritorializing equal freedom and, 75-7 drawbacks of, 163 expanded polity and, 27 in democratic theory, 72-3 interdependency and, 39-40 problems with, 57, 60-1, 63-5 social justice and, 46 voting enfranchisement, 44 voting enfranchisement and, 27, 28-9, 132-4 Althusius, Johannes, 30
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.686 | 0.487 |
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".