Clause Typing and Feature Inheritance of Discourse Features
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The aim of this article is twofold. First, we claim that δ‐features (discourse features), as well as ϕ‐features, can be inherited from C to T (Richards 2007, Chomsky 2008), as shown by wh ‐agreement on T in Ojibwe (Algonquian). Our analysis supports Miyagawa's (2010) hypothesis that discourse and agreement features are two sides of the same coin, which can be distributed differently crosslinguistically. Second, we propose that although ϕ and δ typically bundle together on a single C head, this is not the case in all languages and in fact will vary parametrically. Ojibwe clause typing is partitioned between agreement/ϕ‐features on independent order (i.e., plain matrix) C and discourse/δ‐features on conjunct order (e.g., embedded) C. This parameter, that certain features may or may not bundle on C, captures a significant cluster of properties in Ojibwe: Initial Change, lack of person prefixes in the conjunct order in contrast with the independent, as well as the availability of long‐distance agreement. Our proposal supports the idea that much crosslinguistic variation reduces to the distinct feature structures making up functional heads, such as v , D, and C, rather than to primitives.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it