Traditional and Cultural Beliefs vis-à-vis National and Religious Myths in Sohrab Sepehri’s The Traveler
Bibliographic record
Abstract
This study examines the integration of national and religious myths from varied traditions that permeate SohrabSepehri’s poem, The Traveler. The authors posit that Sepehri’s conceptions of these ancient tales and theirexpression in the poem constitute a creative evolutionary process that stands as our central thesis. The focus is aninterpretation of Sepehri’s unconscious mind vis-à-vis the association of specific myths with the theosophicalorigins of recurrent themes. We utilize historical criticism as literary analysis in our application of a qualitativeapproach to the depiction of positions and periods in which these myths enjoyed currency in their respectivecultures. Thus, the study attempts to portray the imaginative world that stands behind The Traveler whileanalyzing the relations of myths to religion, history and sociology — perhaps with a view to position the citedtraditions as 'Iranian', or allow them as adaptations of traditional Persian forms derived from other nations. Weconclude that the construction and interpretation of myths embody age-old existential issues and readers mayjudge whether the authors have substantiated the thesis of 'poetic evolution'. This novel approach to the greatpoet has but slight contemporary competition, hence, the literature base is meager.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".