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
Discourse analysis offers an extremely diversified landscape, spanning time and disciplines far beyond the field of international relations (IR). With a rich lineage, it comes as no surprise that under the label “Discourse Analysis” (DA) one cannot find a unified theoretical family within IR but rather a plurality of heterogeneous ways of approaching discourse analysis. By leveraging the wealth of discourse analytical works accumulated over more than three decades, this article intends to discuss some of the main theoretical tenets of three competing perspectives on discourse analysis (PDAs): constructivism, critical realism and poststructuralism. It does so by tracing their links to their respective putative philosophical referents. Distinct from Milliken (1999), who consciously stresses the commonalities between various PDAs, this contribution identifies the differences between them. The paper proceeds as follows. First, it locates IR PDAs in the framework of debates over the core branches of the philosophy of social science. Constructivist, poststructuralist and critical realist PDAs will be located along both a foundational/nonfoundational ontological continuum and a positivist/post-positivist epistemological continuum. Secondly, it retraces the main tenets of post-structuralist, constructivist, and critical realist PDAs to discourse by identifying the relevant debates that have characterized the approach to discourse analysis in IR. Finally, it presents some methodological guidelines and provides examples on how DA endeavors have been practiced.
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.
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 | 0.001 |
| 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) | 0.001 | 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 it