Demystifying the Myth of Genderlect through Intertextuality in Global Media Discourse
Bibliographic record
Abstract
This article outlines a gender-based analysis at the connection of critical discourse analysis and intertextuality, with the aim of providing a rich analyses of the multifaceted mechanisms of power and ideology in discourse in supporting hierarchically gendered social orders. The focus of this research is to identify how gender is socially constructed through linguistic choices (especially intertextuality) and discursive practices in media discourse and how these discursive practices in media discourse contribute to create a feminist perspective. The present article has collected 60 talk shows, panel discussions and interviews from 5 global news channels. A corpus is built and a linguistic analysis is conducted where Faircloughs Intertextuality is used as research Methodology. Moreover, Van Dijks socio-cognitive model is used as research framework in which data is analysed on us versus them dichotomy and at micro and macro level of discourse. It is observed that through the use of intertextuality, dominant ideology is (re)- created in feminist media discourse.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".