Largonji des Loucherbems: An Optimality-Theoretic analysis of a 19th century French
Bibliographic record
Abstract
Abstract This paper provides a novel Optimality Theoretic analysis of the 19th century French secret language Largonji. While Largonji is a reversal game, we show that it is a type not previously described, in which the first onset that is not an /l/ reverses, even if it is not at an edge. Thus, traditional approaches to reversal games, such as cross-anchoring, do not work for Largonji. However, our account does not require direct reference to onsets. Instead, it is based on preservation of moraic structure, combined with alignment of a Largonji-specific prefix. Though suprasegmental faithfulness has been noted previously in language games, the present account implements it in Optimality Theory for the first time. Further, in analyzing the Largonji affix as a prefix that is sometimes realized as an infix, we suggest that Largonji provides additional evidence that language games can reflect cross-linguistic patterns not present in the base language.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".