‘It’s this pain in my heart that won’t let me stop’: Gendered affect, webs of relations, and young women’s activism
Bibliographic record
Abstract
Interrogating the oft-stated emotion of ‘guilt’ amongst young female activists, I develop a theoretical account of why young women seem to be more burdened with such negative emotions than young men. Drawing on feminist theorising, I posit that young women’s emotional accounts of activist work highlight the retraditionalisation of gender under neoliberal modernity. I provide evidence of the gender-differentiated demands that heightened forms of reflexivity place on women, young women in particular. I then consider alternative conceptions of politics, grounded in the work of Hannah Arendt, and extending my own earlier work on relational agency ( Kennelly, 2009 ). Drawing on phenomenology to offer an account of political engagement grounded in the lived experiences of activists, I suggest that social movements might be bolstered through a deepened understanding of the role played by webs of relations and world-building practices, without losing sight of the gendered implications of such a turn.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".