Extending the methodology of critical discourse analysis using Haraway's figurations: The example of <i>The Monstrous Perpetrator</i> within contemporary responses to child neglect and abuse
Bibliographic record
Abstract
Critical discursive analyses offer possibilities for equity-oriented research, and are a resource for addressing resistant social problems, such as child neglect and abuse (CN&A). A key challenge for discourse analysts in health disciplines is the tensions between materiality and social constructions, particularly at the site of the body. This paper describes how Donna Haraway's ideas of figuration and technobiopower can augment critical discourse analysis to address this tension. Technobiopower, an intensification of biopower in the context of technoscience, is seen as underpinning the melding of material and semiotic practices. The subject is no longer a material body, but a hybrid body that exists in tropic figuration between the real and unreal. This paper uses an analysis of the figuration of The Monstrous Perpetrator from a study of nursing responses to CN&A to illustrate how Haraway's figuration aligns with and provides an analytical tool to extend critical discursive analyses. Specifically, this methodology offers new ways to identify the discursive qualities of bodies, and how material aspects of bodies are exaggerated, concealing their hegemonic ideologies and discriminatory effects. By identifying discourses within or inscribed upon the body, they can be disrupted, opening new possibilities for social change.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".