Financial Crisis, Financial Firms… And Financial Feminism? The Rise of ‘Transnational Business Feminism’ and the Necessity of Marxist-Feminist IPE
Bibliographic record
Abstract
This paper documents the rise of a politico-economic project of what I have termed ‘transnational business feminism’, focused on the need to promote women’s empowerment, particularly in the wake of the most recent global financial crisis. Here, liberal feminists have joined with states, funding institutions, NGOs and MNCs in constructing women as ‘untapped resources’ capable of delivering a high return on (Western) investment. This project has also generated new knowledges regarding both gender and finance, as the ‘excesses’ that led to the 2008 crisis have been linked to an errant masculinity that can be adjusted by incorporating women (and feminine values) into the finance realm. However, a feminist historical materialist reading of this project reveals that gender is used as part of a narrative that seeks to naturalize and depoliticize capitalist crises. Gender also becomes the basis for the re-embedding of capitalist relations that reproduce the exploitation of men and women while creating new markets and sources of profit for capital. While transnational business feminism is rooted in a particular version of Western liberal feminism that seeks empowerment via integration into the market economy, this paper argues that the contemporary moment offers an opportunity for a renewed emphasis on feminist scholarship that is firmly wedded to anti-capitalism, as well as a Marxism that takes gender seriously.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".