Kinds of the Attribute in the Mari Language
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article is devoted to research of the kinds of the attribute in the Mari language. According to the different features five kinds of the attribute are distinguished. They are expanded and not expanded; isolated and not isolated; prepositive and post-positive; coordinated and uncoordinated; homogeneous and inhomogeneous. In the Mari language attributes can be subject to semantically equal and unequal dependent words in the same or different morphological forms. Separation of the Mari attributes occurs in the case of postposition and there is also its coordination with the determining word. In the Mari language determining of the postpositional attributes is associated with emotional coloring of speech. During the research it was found that the preposition and postposition of the attribute characterize them as uncoordinated and coordinated. The homogeneous attributes are different from inhomogeneous ones in that they are connected with coordinative bond and they exercise identical syntax functions and characterize person or object on the different sides. All these kinds of the attributes give the most complete picture of parts of the sentence in the Mari language.
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.
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 | 0.003 | 0.001 |
| 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