Bibliographic record
Abstract
The morphological component of an LRFG grammar is responsible for selecting the word forms (Vocabulary Items, or VIs) which express a given sentence. VIs may realize only a subset of the information in a sentence, but MostInformative_f (MIf ) and MostInformative_c (MIc ), which evaluate the f- and c-structure information a VI realizes (respectively), ensure that sentences are expressed using the fewest VIs that realize the most information possible. Welsh has positive, negative and neutral forms of the copula in the present and imperfect paradigms which compete to realize copula-containing structures. The Welsh data regarding which form is selected in different contexts is used to show two important conclusions: (1) that constraining equations have a different status to defining equations in VIs, the former not contributing to the evaluation of MIf , and (2) that MIf outranks MIc when the two metrics return different VIs according to their evaluation.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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 teacher head, 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".