"TERFs are a Thing. And I F*cking Hate Them": Developing Solidarity Through Emotion and Ideology
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
In this paper, I investigate gender marginalization and the desire for belonging from similar (non-binary) and divergent (misgendered male versus female) experiences.The study occurs within an immersive virtual reality experience designed to deepen understanding of gender and sexuality-based marginalization.My analysis extends Sara Ahmed's queer phenomenological concept of orientations, bringing it into conversation with learning sciences theories of ideological stance-taking and emotional configurations.I highlight moments of emotional-ideological sense-making where learners reflexively negotiate between themselves and marginalized people and engage in reorientations that support new kinds of solidarity for participants.An analysis of the interaction between the narrator's story, Clare, and the researcher reveals how differences in experiences of marginalization, despite a shared identity, can produce divergent emotional configurations and ideological stances.Further, the analysis shows that interactions with the VR experience and the researcher supported the development of shared ideological stances and emotional-ideological reorientations toward solidarity.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| 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