Algorithm for Motivational Analysis of Linguistic Situation (by the Example of Studying Tendencies for Standardization of National Languages in Canada)
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
The research objective includes developing an algorithm for a motivational analysis of a linguistic situation. The proposed algorithm is based on an analysis of the linguistic situation in Canada. The author examines theoretical aspects of studying social determination of socio-communicative systems and subsystems, considers sociolinguistic motivation as an important factor influencing the linguistic situation, language policy and language development. Scientific originality of the paper involves developping a research algorithm on the basis of the comprehensive approach to studying the linguistic situation. The research findings are as follows: relying on the analysis of the linguistic situation in Canada, the author suggests a step-by-step algorithm, which makes it possible to reveal peculiarities of the components interaction and to identify the basic tendencies of their 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.
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 | 0.036 |
| 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