Putting Users and Small-Scale Creators First in Canadian Copyright Law and Beyond: A Brief submitted to INDU Statutory Review of the Copyright Act
Bibliographic record
Abstract
In an industry characterized by market consolidation, an imbalance of power between creators and big businesses is one of the largest factors that prevents fair remuneration for creators. Proposals for legislation that do not address this imbalance may worsen the conditions for working musicians. While legislation that supports users rights may offer some mitigation of the effects of this industry concentration, copyright is generally an inefficient tool for protecting artists and encouraging innovation. Artists are not always the rights holders for their creative works, and thus legislation for rights holders does not inherently help artists. By encouraging creativity, user rights are more empowering for everyday creators and can help balance the concentration of power enjoyed by the large industry players.
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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 | 0.027 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.029 | 0.014 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.029 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 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".