“Middle East conflict in Berlin schools”: on the affectability of “fake news”
Bibliographic record
Abstract
Abstract The article revisits my older work on moral panics over “Muslim homophobia” and youth crime to make sense of the arrival of a new criminalized figure: the Palestinian school kid who becomes prone to terrorism and antisemitism after consuming “fake news” on social and Arabic-language media. It addresses the current outbreak of anti-Palestinian racism in Germany as the latest expansion of an archive of criminalization that targets young people who, far from innocent and deserving of care and education, are constructed as folk devils that require heavy-handed punishment, segregation and deportation. While former panics have singled out the problematic heterosexualities of Muslim populations that fail to catch up with women-and-LGBT-friendly communities that care about diversity, the debate about the “Middle East conflict in Berlin schools” foregrounds media use as a central determinant of cultural pathology. This departure from languages of care and diversity, the article argues, reflects a dehumanizing tendency in racial capitalism that appears increasingly undisguised.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".