Bibliographic record
Abstract
In this paper, I examine novel data from long distance wh-dependencies in Seereer, an Atlantic language of Senegal. Seereer long distance wh-questions are characterized by (a) the presence of an obligatory pronoun at the edge of each embedded clause and (b) the presence of special morphology on each verb along the path of the extraction. Thus, Seereer provides striking evidence that long distance wh-movement proceeds successive cyclically through the edge of each clause. I argue that this verbal morphology spells out a valued wh-probe on C, which triggers the movement of a wh-phrase to its Spec. I show that the pronouns present at the edge of each embedded clause have the properties of copies and not of resumptive pronouns, and argue that they are in fact spelled out intermediate copies of the moved wh-phrase. I propose that such multiple copy spell out is possible precisely because they enter into a feature valuation relationship with C. Specifically, I propose that valuation of an wh-probe defines a copy as the head of an A’-chain. Thus, the application of successive cyclic movement does not result in one long chain, but instead in a series of smaller chains. This view of the structure of long A’-chains, when combined with the independently motivated principle of spelling out the heads of chains, results in the pattern of multiple copy spell out that occurs in Seereer.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".