Auxiliary Verbs in Serbo-Croatian, French, Persian, Spanish and English: A Cognitive-Semantic Approach to the Auxiliary Verb Usage and Passive Voice
Why this work is in the frame
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Bibliographic record
Abstract
Auxiliary verbs have an important influence in the way languages connect with the cognitive processes. In this study, we investigate the role of auxiliary verbs in the formation of the semantic picture we get from their usage. Furthermore, the semantic notion and its interaction with the cognitive processing are taken into account. For our goal to be more tangible and testable, we took Serbo-Croatian, Persian, Spanish, French and English for an in-depth analysis, wherefrom we proposed a classification scheme for all languages based on the behavior of their auxiliary verbs. Based on the proposed model, we investigate furthermore the passive voice in English and propose a strong explanation for the cognitive-semantic sense of the passive in English based on the cognitive duality principle. Importance of Croatian in the way that it forms an extreme pole in the proposed classification scheme is further discussed. Furthermore, it is demonstrated that Persian has a syntactic incorporation in its simple past and present perfect.
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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 | 0.002 | 0.172 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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