Islamophobia as an affective field: death and elimination
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
Twenty young adults attended an arts-based workshop in Toronto, Canada and responded to the question of ‘what does Islamophobia feel like?’ in order to document their lived reality of everyday Islamophobia. The article focuses on the overarching ‘story of feelings’ marking the art-pieces in an effort to understand how the art-makers use emotional fields to make Islamophobia legible from their lived standpoint. The Muslim protagonist is consistently illustrated by the artmakers as occupying an affective field marked by an everyday spatial politics of contact-and-recoil, i.e. an emotional field of disgust, while made to endure a continuous depletion-centred onslaught of violence. This article addresses a subset of the illustrations using image-based deep-story methods to argue that ‘disgust’ is the primary racialized emotional field through which young Muslims conceptualize the operational life of Islamophobia.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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