Critical Conversations in Canadian Public Law
Bibliographic record
Abstract
Critical Conversations in Canadian Public Law is a groundbreaking open-access collection of peer-reviewed essays showcasing interdisciplinary thinking on topical public law issues at the forefront of the evolving relationship between state and society. In Canada, this relationship is undergoing a period of significant reinvention, as evidenced, for example, by the movements for reconciliation, decolonization and Indigenization, the calls to recognize and remedy systemic racism in institutions including police forces, and the recent extension of human rights protections to prohibit discrimination based on gender identity or expression. These examples reveal that we are experiencing a moment where claims that challenge the normative foundations of the discipline of public law are being made in real time; claims about citizenship, rights, and access to resources and benefits; claims about what substantive and procedural fairness look like, and for whom; claims about the obligations and limits of the state to proactively address both historical and current injustices; and challenges to the underlying assumptions about the state itself. Critical Conversations in Canadian Public Law highlights the intersections of critical perspectives–including intersectional approaches to decolonial and Indigenous legal theory, Indigenous constitutionalisms, critical race theory, feminisms, queer theory and critical disability theory–and public law topics, broadly defined. This collection bridges the divide between traditional, largely liberal, public law scholarship and critical perspectives by centring critical theories as not only relevant, but imperative, to robust, fully contextualized understandings of contemporary public law challenges.
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 | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.092 | 0.051 |
| Scholarly communication | 0.024 | 0.009 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 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".