Primary conceptual metaphors and what they inform us of our embodied mind: a study of five primary conceptual metaphors in Persian
Bibliographic record
Abstract
In the thesis, I study five primary conceptual metaphors GOOD IS UP, BAD IS DOWN, BEING IN CONTROL IS BEING ABOVE, IMPORTANT IS CENTRAL, and NOW IS HERE in Persian to examine their mapping and experiential basis. The thesis is based on Conceptual Metaphor Theory proposed by Lakoff and Johnson (1980), and the primary conceptual metaphors have been randomly selected among the primary conceptual metaphors cited in the literature (e.g. Grady, 1997). The data is gathered from two Persian novels: Chashmhayash ‘Her eyes’ by Bozorg Alavi (1952) and Kelidar Volume 1&2 by Mahmoud Dowlatabadi (2008). It has been claimed in the literature that primary conceptual metaphors are motivated by our embodied experiences and since human beings all share the same body and mind, these primary metaphors are universal. Thus, by analyzing the data, I conclude that all five primary conceptual metaphors are instantiated in Persian and that embodied experiences motivate the existence of these metaphors in Persian as has been evidenced in English.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".