Wench Tactics? Openings in Conditions of Closure
Bibliographic record
Abstract
Picking up the question of what FLaK might be, this editorial considers the relationship between openness and closure in feminist legal studies. How do we draw on feminist struggles for openness in common resources, from security to knowledge, as we inhabit a compromised space in commercial publishing? We think about this first in relation to the content of this issue: on image-based abuse continuums, asylum struggles, trials of protestors, customary justice, and not-so-timely reparations. Our thoughts take us through the different ways that openness and closure work in struggles against violence, cruel welcomes, and re-arrangements of code and custom. Secondly, we share some reflections on methodological openness and closure as the roundtable conversation on asylum, and the interview with Riles, remind us of #FLaK2016 and its method of scattering sources as we think about how best to mix knowledges. Thirdly, prompted by the FLaK kitchen table conversations on openness, publishing and ‘getting the word out’, we respond to Kember’s call to ‘open up open access’. We explain the different current arrangements for opening up FLS content and how green open access, the sharedit initiative, author request and publisher discretion present alternatives to gold open access. Finally drawing on Franklin and Spade, we show how there are a range of ‘wench tactics’—adapting gifts, stalling and resting—which we deploy as academic editors who are trying to have an impact on the access, use and circulation of our journal, even though we do not own the journal we edit. These wench tactics are alternatives to the more obvious or reported tactic of resignation, or withdrawing academic labour from editing and reviewing altogether. They help us think about brewing editorial time, what ambivalence over our 25th birthday might mean, and how to inhabit painful places. In this, we respond in our own impure, compromised way to da Silva’s call not to forget the native and slave as we do FLaK, and repurpose shrapnel, in our common commitments.
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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 | 0.015 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.019 | 0.054 |
| Scholarly communication | 0.027 | 0.031 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".