The Political Hero Figure in Egyptian Songs: A Linguistic Reading. With Particular Reference to Jamal Abdel Nasser
Bibliographic record
Abstract
The present paper deals with the political hero figure in Egyptian songs from a linguistic perspective. The researcher attempts to cast light on some linguistic features, including even few grammatical ones, which mark the treatment of the political hero figure in Egyptian songs with particular reference to Jamal Abdel Nasser as a case in point. The researcher, thus, adopts an analytical approach and tries to make use of linguistic techniques offered by discourse analysis. The basic hypothesis of the research is that one can learn a lot about political trends, inclinations and developments through even grammatical features that are hardly confined to mere structure and morphological relations. The claim is that through the investigation of such features, it is possible to trace the historical development of such figure across different periods of time that may reflect the political ups and downs in Nasser’s life as well as help gain a better understanding of the possible causes and consequences of the rise and fall of Nasser’s national project. Key words : Political heroes; Songs; Idealization; Nasserism; Jamal Abdel Nasser; Grammatical features and their semantic indication; Discourse analysis
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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 | 0.002 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| 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".