Island effects and amelioration by resumption in Jordanian Arabic: An auditory acceptability‐judgment study
Bibliographic record
Abstract
Abstract This study brings evidence from Jordanian Arabic, a primarily spoken grammatical‐resumption language, into the (formal‐experimental) empirical base of both theories of island effects and theories of island amelioration by resumption. We report four auditory judgment studies exploring two dependency types and four island types with a gap or resumption in the tail of the dependency, yielding 16 distinct quantified effects. Our experiments identified two notable sources of variation: variation across dependency types in the sets of island effects that occur with gaps and variation across island types in amelioration by resumption. We discuss the challenges these results raise for four major classes of theories of island effects, and we point to paths forward for each. We also discuss the consequences of the variation in amelioration for theories of the source of resumption, concluding that both base generation and movement must be available options to learners of Jordanian Arabic. We also observe some evidence of individual variation in the availability of resumption across dependency types that could be explored in future studies.
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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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".