From the Colonial to Feminist IR: Feminist IR Studies, the Wider FSS/GPE Research Agenda, and the Questions of Value, Valuation, Security, and Violence
Bibliographic record
Abstract
International relations (IR) feminists have significantly impacted the way we analyze the world and power. However, as Cynthia Enloe points out, “there are now signs—worrisome signs—that feminist analysts of international politics might be forgetting what they have shared” and are “making bricks to construct new intellectual barriers. That is not progress” (2015, 436). I agree. The project/process that has led to the separation/specialization of feminist security studies (FSS) and feminist global political economy (FGPE) does not constitute progress but instead ends up embodying forms of violence that erase the materialist bases of our intellectual labor's divisions (Agathangelou 1997), the historical and social constitution of our formations as intellectuals and subjects. This amnesiac approach evades our personal lives and colludes with those forces that allow for the violence that comes with abstraction. These “worrisome signs” should be explained if we are to move FSS and FGPE beyond a “merger” (Allison 2015) that speaks only to some issues and some humans in the global theater.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.060 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".