Bibliographic record
Abstract
In the interests of promulgation, of spreading the law as widely as possible throughout the province and country in which it applies, the Crown freely permits us to copy legislation and judicial decisions. The law is in the public domain. That is to say that there can be no copyright infringement or plagiarism of the text of the law itself. Copying and dissemination of the law cases is even encouraged. "Anyone may, without charge or request for permission, reproduce enactments and consolidations of enactments of the Government of Canada, and decisions and reasons for decisions of federally-constituted courts and administrative tribunals, provided due diligence is exercised in ensuring the accuracy of the materials reproduced and the reproduction is not represented as an official version." The law belongs to all of society. It can be copied and quoted freely, in books and magazines, for example. The only two requirements are that one must be careful to copy it accurately, and not suggest that it is "official", which may mislead readers. The Order does not even indicate that the law must be properly cited. Law has its own peculiar language, so the source or context of the law is likely implied by the copy.
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.019 |
| Scholarly communication | 0.030 | 0.017 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.055 | 0.019 |
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".