A COMPARATIVE STUDY OF THE TEXTUAL FEATURES OF IRANIAN AND ENGLISH RECOMMENDATION LETTERS
Bibliographic record
Abstract
Analysis of different academic writings to obtain cross-cultural differences, Recommendation Letters is still considered as a Cinderella among Iranian scholars. Adopting the Clyne's (1991) framework to analyze English recommendation letters written by Iranian, American, Canadian, and British university professors, to see if there is any significant difference between these two types in terms of digression, textual symmetry, integration, advance organizers, enumerative sentences, bridge sentences, and topic sentences, forty-seven RLs were collected in total, 27 of which were written by Iranian university professors and 20 by those native speakers of English. Having analyzed the letters according to those features, a Chi 2 test was conducted to demonstrate the results statistically. It was found that there are significant differences between these two groups of letters regarding textual symmetry and topic sentences, while there were no significant differences regarding digression, data integration, advance organizers, enumerative sentences, and bridge sentences.
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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 | 0.001 |
| 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 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".