Including social discourses and experience in research on refugees, race, and ethnicity
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
In Discourse & Society, there has been discussion of accounting practices involving refugees, racism, and ethnicity. Some of these articles note that discursive psychology’s emphasis on in-situ constructions leads to a situation where it does not allow us to fully grasp social discourses. This article addresses this critique by discussing conversation analysis and ethnomethodology. It then adds to this discussion by proposing that linguistically constituted phenomenological experience – a topic important in reference to refugees, racism, and ethnicity – is also bypassed by discourse analysis. It draws upon Mikhail Bakhtin’s early work and on how experience is bound to social discourse. By proposing how Bakhtin meshes with Garfinkel and conversation analysis, it is possible to approach experience using techniques put forward by these perspectives. The result is a proposed way to research social discourse and experience, thereby enhancing discursive analysis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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