Understanding young adult Muslim and Christian attitudes toward queer identity: A Canadian and UK comparison
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
This article utilises data from two parallel mixed-methods projects to examine attitudes to queer identity among heterosexual Muslim and Christian young adults aged between 18 and 25 in Canada and the UK. Drawing on questionnaires, interviews and video diaries, our analysis revealed the enormous complexity regarding how participants made sense of their, largely contextually mediated, attitudes. A qualitative approach enabled us to carefully consider how these attitudes are forged, formulated and embodied, offering greater nuance and detail compared with attitudinal approaches focused solely on quantitative data. Responses by these young Muslim and Christian participants explore the fluidity and movement in the attitudes expressed, further emphasising complexity.
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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 | 0.000 | 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) | 0.001 | 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