The asymmetry in the structures of the variants of the concept the tatar language in the tatar, Russian and english-speaking mentaleses
Bibliographic record
Abstract
© 2015 Canadian Center of Science and Education. All rights reserved. The author of this article analyzes the results of a series of the free associative experiments with a view to identify the specific features of the basic layers and interpretive fields of the concepts Tatar Tele/Tatarskiy Yazyk/the Tatar Language in the Tatar monolingual and bilingual, Russian and English-speaking mentaleses. The author comes to the conclusion that of the concepts have different representations in the above mentioned mentaleses. The relevance of the chosen topic is determined by the necessity to single out structural particularities of the concepts under study. The author is interested in the level of the streotypeness of the concepts and ethnical identification of the linguistic identity of the Tatar, Russian and English native-speakers. The additional relevance to the present research is given by the problem of natural and artificial bilingualism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".