A Corpus Investigation of English Cognition Verbs and their Effect on the Incipient Epistemization of Physical Activity Verbs
Bibliographic record
Abstract
In the spirit of NSM accounts that attempt to build up a language’s full expressivity from a small set of lexical primitives, we have investigated the usage in English of basic verbs of ideation ( think, know ) and physical activity ( strike, hit, go, run ) as they take on new epistemic meanings and functions, all the while calcifying in their inflectional range. It is well known that certain verbs of cognition in English such as remember , forget , and think are grammaticalizing into pragmatic particles of epistemic stance and, consequently, 1st person singular (1sg) forms account for the majority of usages. Likewise, we have carried out systematic queries and hand-tagging of corpus returns and have found that many verbs and phrasal expressions, ideational or not, seem to be associated with rather narrow collocational patterning, argument structure, and inflectional marking in almost idiom-like and constructional fashion. Moreover, we find that expressions associated with 1sg and 2nd person “cognizers” are, to a large extent, in complementary distribution, giving rise to fairly strong semantic differences in how I and you “ideate”. In this study, we demonstrate the extent of inflectional and collocational specificity for verbs of cognition and physical activity and discuss implications this lexico-syntactic idiosyncracy has for cognitive linguistics.
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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 | 0.001 | 0.003 |
| 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 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".