Bibliographic record
Abstract
Abstract The phenomenon of case has been studied widely at both the descriptive and theoretical levels. Typological work on morphological case systems has provided a picture of the variability of case cross-linguistically. In particular, languages may differ with respect to whether or not arguments are marked with overt morphological case, the inventory of cases with which they may be marked, and the alignment of case marking (e.g., nominative-accusative vs. ergative-absolutive). In the theoretical realm, not only has morphological case been argued to play a role in multiple syntactic phenomena, but current generative work also debates the role of abstract case (i.e., Case) in the grammar: abstract case features have been proposed to underlie morphological case, and to license nominals in the derivation. The phenomenon of case has been argued to play a role in at least three areas of the syntax reviewed here: (a) agreement, (b) A-movement, and (c) A’-movement. Morphological case has been shown to determine a nominal argument’s eligibility to participate in verbal agreement, and recent work has argued that languages vary as to whether movement to subject position is case-sensitive. As for case-sensitive A’-movement, recent literature on ergative extraction restrictions debates whether this phenomenon should be seen as another instance of “case discrimination” or whether the pattern arises from other properties of ergative languages. Finally, other works discussed here have examined agreement and A’-extraction patterns in languages with no visible case morphology. The presence of patterns and typological gaps—both in languages with overt morphological case and in those without it—lends support to the relevance of abstract case in the syntax.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.009 | 0.017 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".