‘Receiving’ the Swiss Civil Code: translating authority in early republican Turkey
Bibliographic record
Abstract
The promulgation of the Turkish Civil Code of 1926, a nuanced translation of the Swiss Civil Code of 1907, has long been celebrated as an exceptionally thoroughgoing instance of ‘legal transplantation’. Despite their pervasiveness, such assessments cloud appreciation of the multifarious power dynamics at work in the Code’s preparation and implementation, especially the mechanisms through which it was made to serve Kemalist ideology’s twofold agenda of ‘modernising’ socio-legal relations while retaining – and, in certain instances, augmenting – those ‘traditional’ practices which early republican legislators and administrators found to be of especial value for their ‘nation-building’ project. The chief objective of this study is to reveal the inadequacies of the Turkish Civil Code’s standard characterisation as a ‘success story’ in comparative legal scholarship. Specifically, I demonstrate that the 1926 Code is best understood as the product of a deeply gendered tension between Kemalism’s dedication to a state-driven programme of national ‘modernisation’ and elements of the ‘tradition’ this programme was crafted for the sake of mobilising, radicalising and transforming.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".