The Political Origins of Professional Identity: Lawyers, Judges, and Prosecutors in Taiwan’s State Transformation
Bibliographic record
Abstract
Abstract Where does the legal profession’s identity originate from? How do we explain the intra-professional variations, as multiple legal professions diverge in their political orientations? This paper argues that the legal profession critically develops their core identity resisting incumbent rulewhenthe state undergoes fundamental power reconfiguration. It is their political position as opposed to power in a critical juncture of state transformation that determines the legal profession’s collective ideal of who they are and what actions they take. Drawing on 133 interviews with Taiwanese judges, lawyers, and prosecutors, extensive fieldwork, and archival data up to the 1990s, this paper demonstrates how democratization shapes professional identity. As respective professions experienced different levels and models of authoritarian containment, they took separate trajectories to challenge the Kuomintang’s party-state and pledge to different normative commitments. Taiwanese judges categorically defend judicial independence, lawyers advocate for people’s rights, and prosecutors marshal under justice to check abuse of power.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".