Precarity and Resistance: A Critique of Martha Fineman's Vulnerability Theory
Bibliographic record
Abstract
Abstract Contemporary feminist theory by and large agrees on criticizing the traditional, autonomous subject and instead maintains a relational, dependent self, but the vocabulary used to describe the latter remains contested. These contestations are seen in comparing the approach of some feminist legal theory, as demonstrated by Martha Fineman, to the approach of some feminist theory that draws on continental philosophy, as demonstrated by Judith Butler. Fineman's concept of vulnerability emphasizes the universality of vulnerability in the human condition, arguing that a “responsive state” is most conducive to producing subjects who are “resilient” in the face of neoliberal pressures. We argue that vulnerability, as an existential as opposed to a political description, is a limited rubric under which to organize against neoliberal forces. Further, we contend that Fineman's rhetoric of resilience risks reiterating a neoliberal logic of individualized self-management. In response, we look to Butler's concept of precarity, which underscores particular social conditions, as opposed to universal ontological vulnerabilities, that debilitate certain subjects. At stake is how we respond to neoliberal forces today: a vocabulary of precarity poses a more effective challenge than one of vulnerability, for it opens onto not merely individual or institutional resilience but grounded, communal resistance.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.009 | 0.077 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.011 |
| 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".