Bibliographic record
Abstract
These are the Book Notes for the December 2015 Review of Constitutional Studies issue. They contain longer discussions of some books than others but, in any event, contain my brief comments on recent books that include: - Chris Andersen, Metis: Race, Recognition, and the Struggle for Indigenous Peoplehood (UBC Press); - Benjamin Berger, Law's Religion (U Toronto Press); - Jamie Dickson, The Honour and Dishonour of the Crown: Making Sense of Aboriginal Law in Canada (Purich); - Lois Harder & Steve Patten, eds., Patriation and Its Consequences: Constitution Making in Canada (UBC Press); - Adam J. MacLeod, Property and Practical Reason (CUP); - Samuel Moyn, Christian Human Rights (Penn); - Victor Muniz-Fraticelli, The Structure of Pluralism: On the Authority of Associations (OUP); - Michael Plaxton, Implied Consent and Sexual Assault: Sexual Autonomy, Intimate Relationships, and Voice (McGill-Queen's); - Greg Poelzer & Ken S. Coates, From Treaty Peoples to Treaty Nation: A Road Map for All Canadians (UBC Press); - David Schneiderman, Red, White, and Kind of Blue? The Conservatives and the Americanization of Canadian Constitutional Culture (U of Toronto Press); and - Cass R. Sunstein, Constitutional Personae (OUP 2015). The official version will appear in the Review of Constitutional Studies, but this is the edited version.
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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.014 |
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".