Bibliographic record
Abstract
This article explores the problem of information structure in ancient Greek direct constituent questions from the perspective of wh-placement. It begins with the observation that wh-items are intrinsically focused and that typologically, wh-placement is predictable based on the focusing properties in some languages, such as Indonesian (in situ strategy) and Basque or Hungarian (focus position strategy), but not in others, such as English (specific wh-position strategy). Ancient Greek has multiple ways to express narrow focusing, e.g., in situ or in a preverbal devoted position. Puzzlingly, with respect to whPs, the former way is only marginally attested and there is no good evidence for the latter way. Instead, based on syntactic and prosodic tests, we show that ancient Greek offers a third strategy, in which a high position in the structure is available. Nevertheless, when this result is recast in the framework of Phase Theory, the tests of wh-duplication and stranding indicate that whPs must go through all three positions, receiving their argument function in situ, checking their focus feature preverbally and verifying their wh-feature in the high position. The specificity of 'why' questions is addressed along the way.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".