Law, Empires, Legal Professions, and Status Hierarchies: Comparative Perspectives
Bibliographic record
Abstract
This article examines the local and global processes that produce and shape the legal profession and its relevant national hierarchies, emphasizing the role of law schools, practice settings, career pathways, legacies of imperialism, colonialism, and external forces such as globalization. Focusing on Canada, India, South Korea, and Brazil, the article explores how global forces like Americanization and neoliberalism intersect with national histories and legal traditions. It traces the rise of corporate law firms, their influence on legal education, and the persistent disparities between elite and nonelite institutions. Case studies reveal the complex interconnections between traditional family-based hierarchies, meritocratic credentials, and evolving professional norms. Despite pressures for reform, entrenched structures often absorb changes, reinforcing local and global status hierarchies. This work underscores the enduring tension between merit and inherited privilege in the legal field, the power of interconnected histories, and their implications for the role and status of legal professions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".