Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The work of Sara Ahmed and Judith Butler exemplifies a recent concern with the politics of affect. Their distinctive contributions are informed by phenomenological accounts of passivity and agency. They view affect as critical to the articulation of social and political space, as well as to the individuation of embodied agents; for each, affect is key to an account of critical engagement. Their at-tention to affective economies also reflects their concern with the dynamics of exclusion, concealment, and marginalization, and thus their powerful insights into the politics of affect contribute to our understanding of the role that affect plays in both the formation of normative orientations over time, and also to their potential disruption and transformation.Le travail de Sara Ahmed et Judith Butler illustre une préoccupation récente pour la politique de l’affect. Leurs contributions distinctives sont éclairées par des récits phénoménologiques de passivité et d’agentivité. Elles considèrent l’affect comme essentiel à l’articulation de l’espace social et politique, ainsi qu’à l’individuation des agents incarnés; pour chacune, l’affect est la clé d’engagement critique. Leur attention aux économies affectives reflète également leur préoccupation pour les dynamiques d’exclusion, de dissimulation et de marginalisation, et ainsi leur puissante connaissance de la politique de l’affect contribue à notre compréhension du rôle que joue l’affect dans le modelage des orientations normatives au fil du temps et leur perturbation et trans-formation potentielles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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 it