Representation, Ideology and Writing from Below: On the Paradox of Standpoint Epistemology and the Limits of Intersectionality
Bibliographic record
Abstract
Feminist standpoint epistemology (FSE) is an important form of writing from below; that is, writing from embodied experience. FSE and other forms of writing from below involve practices of representation that are mediated by ideology. In this article, I tease out some of the complexities and limitations of feminist efforts to use FSE to situate and embody thought. Some feminist standpoint theorists understand Cartesian dualism as a dualism or a division that can be collapsed or reversed, but I show that what is called “Cartesian dualism” is in fact a paradox and therefore cannot be overcome but must be grappled with on an ongoing basis in our efforts to write from below. The article begins with an exploration of the basic tenets and presumptions of two schools of FSE. While neither school can evade the politics of representation, I show that one is able to withstand an intersectional critique whilst the other is not. Having unpacked these schools of FSE, I reflect on Himani Bannerji’s ideology critique of intersectionality to lay bare the limitations of this concept that some writers from below deploy and to advance a reflexive materialist epistemology.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.070 |
| Scholarly communication | 0.014 | 0.019 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.008 |
| 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".