Crisis as opportunity: legal career paths at two historical turning points in Hong Kong
Bibliographic record
Abstract
Abstract This article investigates the career trajectories of Hong Kong solicitors during two historical turning points, specifically 1994–1997 and 2018–2021, when hundreds of lawyers left private practice to pursue alternative career options such as business and finance, government and politics, or relocation to other countries. Data are sourced from the career mobility records of law firm partners reported in 336 monthly issues of the Hong Kong Lawyer journal between 1994 and 2021, as well as other relevant archival sources. The research examines the underlying forces that led these law firm partners to abandon their high-status positions and pursue alternative career paths during these pivotal moments in Hong Kong’s history. The findings suggest that the career trajectories of these elite professionals are not solely based on individual choices but are also shaped by their social origins and the physical and social spaces that influence their careers over time. This study contributes original insights into the complex interplay between individual, spatial and temporal factors that drive career mobility among legal professionals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".