A Comparative Study of Ideational Grammatical Metaphor in Health and Political Texts of English Newspapers
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
Newspapers, as their name suggests, provide us with news. With the spread of education, the popularity and importance of newspapers have increased by leaps and bounds. Everybody today wants to read a newspaper. The language of mainstream newspapers is formal and special English so, there is no surprise that the grammatical metaphor identification procedure can be obviously applied to newspaper text. Systemic functional grammar constructs a grammar for the purpose of text analysis to investigate how grammar is used as a means of making meaning. Grammatical metaphor is one of the language phenomena introduced by Halliday (2004) in the framework of functional grammar. The present work focuses on the application of Hallidayian metafunctional framework in both political and health texts of English newspapers. The analysis of data was conducted through a description of English newspaper texts, based on ideational grammatical metaphor. To this end, the researcher conducted some statistics to this strand of meaning, including frequency and percentage of nominalization type of ideational grammatical metaphor in both genres. Finally, two genres of English newspapers were compared statistically to show in what respect they are significantly different or similar. The obtained results indicate that both genres of each English newspapers bear more similarities than differences in terms of using the nominalization of ideational grammatical metaphor. In other words, while indicating genre differences between English newspapers, the study proves their functional similarities in using the material process types more than other process types to convey meaning.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it