An empirical investigation of the felicity conditions for the Japanese evidentials -rashii, -sooda, and -yooda
Bibliographic record
Abstract
This paper reports on the first detailed experimental investigation of the perception of the felicity of evidential markers in context. We investigated the Japanese evidentials -rashii, -sooda, and -yooda in various discourse environments by manipulating two key variables: (a) whether there was any conjecture required, and (b) whether the information source was accessible firsthand to the speaker. This work provides a baseline against which future studies of other discourse variables can be measured, and our results present some challenges to established conceptions. For example, -rashii was found to be compatible with reportative utterances, building on its traditional categorization as a conjectural evidential. We situate our findings with respect to the typological literature and contemplate how the results may inform semantico-pragmatic theories of evidentiality. We further propose a slight modification to McCready and Ogata (2007) to account for the felicity of bare propositions with indirect information sources.
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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 | 0.008 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".