Language and Ideology in Texts on Globalization: A Critical Discourse Analysis
Bibliographic record
Abstract
A contentious question in critical language studies has been whether and how ideology is embedded in discourse. This question has attracted attention from scholars within the humanities and social sciences. A number of scholars argue that there is a dialectical relationship between language and ideology. Discourse internalizes and is internalized. By applying Critical Discourse Analysis (CDA) as a transdisciplinary research approach, this paper (re)examines the ideological construction of globalization in two types of genres: newspaper Opinion-Editorial articles and political economic speeches. The paper discusses how discourse and ideology are interconnected in texts on globalization, especially the global economy. As a result of the textual and sociological analysis, the paper identifies two central interrelated ideologies in the discourse of globalization: new capitalism and neoliberalism. These political economic ideologies are construed linguistically through vocabulary and socially through universalization. From a macro sociological perspective, the analysis implies that social-Darwinist survival of the fittest is inevitable in global economic affairs.
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 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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.007 | 0.025 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".