Persian Cultural Schema of Ghesmat (Fate): The Role of Age and Education
Bibliographic record
Abstract
Ghesmat (roughly could be translated as ‘fate’) is one of the ancient cultural schemas among the Persians. This study explores the schema of ghesmat in the lives of Persian speakers as reflected in their language use among people with different age and educational level. Having introduced the schema of ghesmat in Persian, data was collected by giving a discourse completion test (DCT) to the participants of the study who were randomly chosen. The results of the analysis of data revealed that Persians instantiated the cultural schema of ghesmat in different contextual circumstances of their lives. In addition, the use of this cultural schema was different among people with different age and education. It seemed young educated Persian speakers drew least on the schema whereas old uneducated ones mostly favored ghesmat schema. Finally the study discussed about the possible pattern for the distribution of cultural schemas.
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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 | 0.000 | 0.000 |
| 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".