Bibliographic record
Abstract
This article employs heteroactivism as a frame of analysis to examine recent shifts in resistances to gender and sexual equalities in Israel. Using ethnographic, visual, and textual methods, I examine as case studies the oppositions to two academic conferences, Issues in Therapy with Polyamory and Queer Utopias, that were both held at Bar Ilan University in 2019. The oppositions, which were led by three organisations affiliated with the Religious Zionist public (Leeba; Shovrot Shivion; Boharim Bamishpacha) reveal how Israeli heteroactivist discourses invoke familism, pro-natalism, religious sentiments, Zionist narratives, and collective trauma, in their attempts to recentralise the heteronormative Jewish family. LGBT equality in Israel has been achieved through legislative court-rulings, instead of being legally secured by the parliament, as it was in other countries previously explored by research on heteroactivsim. Nevertheless, this article shows, how this quasi-equality, combined with public sentiments of growing acceptance, induced by homonationalist and homonormative trends, sufficed to create a fertile ground for heteroactivist resistances. Through a discussion of the symbolic meaning of Bar Ilan University as an academic institution, affiliated with the Religious Zionist public, this article also illustrates how heteroactivist resistances may be embedded in specific localities and events, and not just on grand national campaigns.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.105 | 0.017 |
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".