‘The People Were Toppled by the Fire from All Sides’: An Analysis of the Metaphorical Use of Fire in Jordanian Political Speeches
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examines the metaphorical use of fire in political speeches in the House of Representatives of Jordan. The analysis relies on political speeches made on different occasions between 2015 and 2022. This study uses a corpus-based approach to analyse fire metaphors. The findings indicate that fire is used in political speeches to achieve different metaphorical purposes, both positive and negative. The positive use of fire includes using it as a metaphor relating to hope and optimism for a better future as well as using it to praise courageous deeds and efforts of others. The negative use of fire includes using it to indicate danger, the speed at which unwanted things spread, pain and distress and the urgency to take immediate action to stop danger.
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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 | 0.004 | 0.099 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it