Journalistic Stance in Newswriting on Iranian Nuclear Issue
Bibliographic record
Abstract
<p>Regarding the role of Critical Discourse Analysis (CDA) in discovering the way ideology is crystalized through the prevalence of various discourses, the present study is an attempt to examine how the journalistic personal and institutional ideologies and political positions are realized through certain textual and intertextual features. Using Perrin’s (2012) progression model, journalistic stancing with regard to the Iranian nuclear issue at three levels of micro, meso, and macro was investigated. The study of claims of unpeacefulness in the Western media texts under investigation reveals a systematic ideological bias towards portraying a negative presentation of Iranian nuclear policy. The Iranian journalists, however, tend to highlight the peaceful nature of the Iranian nuclear program and the West’s double standards as well as Iran’s efforts in order to come to a mutual agreement. Implications of the insights provided by the study for confirming the premises of CDA and applications of the findings for teaching are explained in brief.</p>
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How this classification was reachedexpand
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 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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 teacher head, 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".