Bibliographic record
Abstract
© 2014, Canadian Center of Science and Education. All rights reserved. This paper presents an attempt at conducting an analysis of the notion “optionality” based on the works of experts in the given sphere. There is a certain lack of consistency in the matter of understanding and interpretation of the given phenomenon in the linguistic literature. Some scientists mean by optionality an opportunity to substitute one synonymic word by the other without significant changes in the plane of content; others recognize ellipsis in it, while the third party-an optional combinability. The issue of faculty has obtained the widest discussion in sinology. According to one of the theories, optionality can be studied against redundancy and economy of language means. In this case the phenomenon of optionality in the Chinese language can manifest itself on the level of phonemes, morphemes and lexemes. Functioning of grammatical markers expressing aspect, tense, number, etc. can serve as an example, as it possesses the property of optionality. The majority of scholars agree that optionality is an objective property of language system and is closely connected with the process of the language ongoing development.
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 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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".