Bibliographic record
Abstract
This special issue on feminisms and performance responds to a significant resurgence and renewal of interest in feminism in Britain, the US and many other countries worldwide over the last five years.As the fault lines in neoliberal capitalism have increasingly been revealed as gaping divides, women have been taking to the streets to fight battles that 'post-feminism' of the 1990s and early 2000s once declared as 'won'.In 2016, women in Poland declared a one-day women's strike to protest against proposed changes to the legislation around abortion, while in Iceland women staged a one-day mass walkout from work as part of the ongoing (worldwide) battle for equal pay.January 2017 saw women in China, India, Australia, Germany, Canada, the UK, the US and elsewhere taking to the streets in unprecedented numbers to protest against the election of 'pussy-grabbing' Donald Trump and the values he represents.In October 2017 in the wake of public revelations about US film producer Harvey Weinstein, countless women in the US and UK called out deeprooted cultures of sexual harassment in the workplace using the hashtag 'MeToo'.The social media networks that enabled these and other recent examples of feminist activism, such as One Billion Rising, Slutwalks, Everyday Sexism, and Daughters of Eve, have also facilitated flourishing political debate.By 2010
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".