Epistemologies of Imperial Feminism(s): Violence, Colonization, and Sexual (Re)Inscriptions of Empire.
Bibliographic record
Abstract
This doctoral thesis project brings together Indigenous theory and post-colonial feminism under a decolonial framework to highlight the significance of feminist moral epistemologies in establishing global hierarchical systems. I argue that when situated within the sexual matrices of coloniality, feminist moral regulation knowledge production in Canada institutionalizes hierarchical social ordering through the de-mediation of non-secular agency and sacred Indigenous self-consciousness. This dissertation warns feminist moral regulation scholars of the contamination of feminist knowledge produced about the “sexual Other” that remains colonized within the methodological grids of the epistemic structures of secular-coloniality. It highlights how a focus on epistemology allows us to understand the role of feminism’s contingent investments in imperial knowledge systems and the effects this has for structuring neocolonial governmentality and settler colonial domination, in the service of sexual empire. In it, I employ deconstruction and genealogical analytics to reveal how structures of empire are intertwined with discourses of sex and colonial law to trace how such intertwinements shape the production of subjectivities, liberal state-making projects, and colonial enterprises under the promise of “sexual progress” and political freedom. This framework allows me to explore the co-production of knowledge systems within neocolonial orders by focusing on philosophical debates about human rights, gender and racial (in)security, liberal secularism, transnational imperial feminist power. Central to the argument that I pursue in this dissertation is that in the wake of neo-liberalism and neo-colonialism, feminist knowledge about sex work and morality is not mediated by a singular site of annunciation via moral regulation theory. I argue, instead, that moral regulation feminist theorizations of sexual morality are also conditioned by the epistemic and methodological project of imperial feminist praxis. Therefore, this dissertation investigates the epistemological dimensions of moral regulation feminist knowledge production and excavates the modalities of power that drive this discipline and explores the epistemological regions from which it speaks. \n
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.079 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".