Women Lawyers and the Struggle for Change in Conflict and Transition
Bibliographic record
Abstract
.This article examines the particular experiences of female ‘cause-lawyers’ in conflicted and transitional societies. Drawn from an ongoing comparative project which involved fieldwork in Cambodia, Chile, Israel, Palestine, Tunisia and South Africa, the paper looks at opportunities, obstacles and the obduracy required from such lawyers to ‘make a difference’ in these challenging contexts. Drawing upon the theoretical literature on the sociology of the legal profession, cause-lawyers, gender and transitional justice, and the structure/agency nexus, the article considers in turn the conflict/cause-lawyering intersection and the work of cause-lawyers in transitional contexts. It concludes by arguing that the case study of cause-lawyers offers a rebuttal to the charge that transitional justice is just like ‘ordinary justice’. It also contends that, notwithstanding the durability of patriarchal power in transitional contexts, law remains a site of struggle, not acquiescence, and many of these cause-lawyers have and continue to exercise both agency and responsibility in ‘taking on’ that power.
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.035 | 0.053 |
| Scholarly communication | 0.018 | 0.008 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".