A Case of Love and Hate: Four Faces of Alienation Among Young Lawyers in France and Switzerland
Bibliographic record
Abstract
Over the past three decades, the legal profession has experienced globalization, the rise of mega-law firms, and intensified competition. These transformations have been associated with declining career perspectives, the hyper-specialization of legal work, and increased levels of stress. We argue that the concept of alienation offers valuable insights into these changes by providing an original analysis of the objective and subjective experiences of early career lawyers at work. We elaborate a multidimensional typology that covers the content and retributions of legal work. By categorizing experiences of alienation along these two axes, we identify four ideal-types of alienation: powerlessness, purposelessness, time deprivation, and unfairness. Based on qualitative studies carried out in France and Switzerland, we illustrate how young lawyers differentially experience each type of alienation, according to gender, status, and firm size. We conclude by suggesting how these factors combine to produce long-terms effects, such as the high female attrition rates observed in the Swiss and French 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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.026 | 0.019 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| 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".