Bibliographic record
Abstract
Originally published in 1989, in this remarkable conjunction of constitutional theory, jurisprudence, literary theory, constitutional law, and political theory, William Conklin first tells us what a constitution is not: it is not a text, nor a compendium of judicial and legislative decisions interpreting a text, nor a set of doctrines, nor moral/political values, nor customs, nor a priori conceptions. A constitution, he argues, is an image which exists through the legal consciousness of a community. Using a wide range of Canadian judicial decisions as examples, Conklin shows that the classic cases have been those where the boundaries of two conflicting images clashed. In each instance, the subject-matter itself collapses into a search for a coherent image of what a constitution is all about. The dominant image of a constitution in Canadian judicial discourse has been a rationalist one emanating from the Enlightenment understanding of knowledge. Turning to academic writings on Canadian federalism law, Conklin goes on to identify clearly the boundaries of three versions of rationalism, and to show that Canadian scholars have shared with judges the dominant image of rationalism. In the third part of his essay, the author makes a prescriptive claim, namely that a text such as the Canadian Charter of Rights and Freedoms arguably raises issues which the rationalist image of a constitution precludes as legitimate inquiries. He identifies a further general image of a constitution in Canadian legal discourse, a teleological one which is rooted in the writings and judgments of Ivan Rand. Finally, he uses the contours of the Rand image to work out a further image of constitution, an image that allows lawyers to entertain issues of both theory and social/cultural practice, thereby placing them in a position to alleviate the pain and suffering of those in need.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".