Language and Variation: A Study of English and Persian Wh-questions
Bibliographic record
Abstract
It was claimed by variationists that languages experience variation at all levels, which is supposed to be patterned. The present study aimed at exploring how variation occurred in English and Persian wh-questions. More specifically, it investigated whether such a variation was systematic and patterned. To this end, a modified version of the Edinburgh Map Task was used in data collection. The population of this study was 60 Canadian and Persian native speakers who performed the task through the construction of wh-question variants. The results indicated that both languages experienced variation in the construction of wh-questions. However, Persian proved to be more variable than English because it allowed more wh-question variants to be produced. Moreover, this variation was patterned in English and Persian individually, yet a systematic variation could not be observed between these two languages. It followed that the different mind-sets of the Canadian and Iranian participants which were affected by social and cultural factors might account for such a variation.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".