Bibliographic record
Abstract
Abstract Various proposals have been made in the literature, arguing that bound pronouns are, in some sense, deficient. This article tests this hypothesis with Malagasy pronouns, specifically in the context of Zribi-Hertz and Mbolatianavalona's (1999) claim that Malagasy pronouns may be bound only when they are missing the NumP layer of DP. Zribi-Hertz and Mbolatianavalona show further that other syntactic properties are also attached to the lack of NumP. The variety of Malagasy investigated here (Malagasy2), behaves differently from the one described by Zribi-Hertz and Mbolatianavalona (Malagasy1), and these differences lead to two conclusions. First, there are no syntactically deficient pronouns in Malagasy2, yet these syntactically complete pronouns may, in fact, be bound. Second, Zribi-Hertz and Mbolatianavalona are nevertheless correct that the lack of NumP accounts for a cluster of properties, since none of these distinctions between pronouns that they describe are found in Malagasy2. More broadly, we conclude that pronominal binding does not require syntactic deficiency.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".