Bibliographic record
Abstract
Accessible information is an essential resource for equal, meaningful participation in the public life of a democratic society. Such information is particularly vital for the effective functioning of all three branches of government in our constitutional democracy: the administrative branch, which creates government policy and holds state actors accountable to the public; the legislative branch, which scrutinizes old and creates new legislation; and the judicial branch, which reviews the acts of the legislative and executive branches. For the law-reform processes of each branch to effectively foster the informed creation and critique of public law and policy, we require reliable, accessible data depicting the diversity of individuals who make up the broader Canadian public.Beyond this practical purpose, accessible information plays an expressive role as it constitutes a particular notion of the Canadian public. The data created by national population censuses and assembled in welfare reports has the power to “nominat[e] into existence” certain groups of people and, conversely, to “refus[e] to name” others. Such information not only represents the public, it also creates the public, as it stands in for the public at all levels of government. By communicating who we are as a society and how we are changing, census information and welfare reports shape our understanding of ourselves — our laws, policies, government, and place in the world.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.019 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".