Bibliographic record
Abstract
This paper considers the influence of academic restructuring associated with neo-liberal postsecondary policies on the culture of law schools and legal scholarship in Canada. It offers empirical data from a case study of the Faculty of Law at the University of British Columbia. This paper examines the impact of the changing Canadian political economy on the scholarship and culture at the law school and explores the implications for professional autonomy and academic freedom. The findings suggest that, at the time of data collection (2002-2004), the changing political economy had not (yet) affected the law school at the University of British Columbia in the same manner as other jurisdictions and disciplines described in the literature. The data shows that law professors who participated in the study experienced increasing pressures associated with corporatization, commodification and marketization in the larger university, however they consistently described high levels of academic freedom and professional autonomy over their work and scholarship. While there is some evidence of the transformation of academic culture associated with economic restructuring there is also evidence that law professors at this school have maintained control over the direction of their intellectual scholarship.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".