Bibliographic record
Abstract
actra (alliance of canadian cinema, television and radio artists) 134 adelstein, r. 92 administration of rights collecting societies 180-81 cost management 183-4, 186 and digitization 195-7 features 181-2 and memberships 174, 175-6, 186-7, 191-2 monopolistic features 184-5 pricing for users 187-90 revenue distribution 190-91 america see United states anti-commons, and fair use 86-7 appropriability, indirect 20, 26-9 in competition models 34-9 in copying models 29-33 in music industry 43-4 and piracy 226 in substitutability 39-43 armonia 159 arrow, k. 287 artworks see visual arts audiobooks and misuse hypothesis studies 101-2 and pricing effects on public domain 102 audiovisual works and idea vs. expression issue 67 and performers' rights 135-6 australia, and parallel trade 294 authorship and liberty of use 78-80 online rights 144-7 and performers' rights 130-31 see also fair compensation; licensing; royalties availability of goods effects on public domain sources 98-101 and performers' rights 129
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.784 | 0.673 |
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".