What's God Got to Do with It?—A Call for Problematizing Basic Terms in the Feminist Analysis of Religion
Bibliographic record
Abstract
My goal in this lecture is to continue the adventure of feminist thought about religion that has been going on for over 30 years now. It's a discursive adventure, isn't it? A bit like hiking through new terrain—we explore how far we can go today so that others who come after us can go even farther. Or, more optimistically, so that tomorrow we ourselves can go farther still in our own lifetimes. Of course, a metaphor like hiking breaks down over this point: when we hike we don't create the terrain—although we might change it just by passing through. The land has a thereness that our activities in discourse do not—or, rather, the thereness of discourse is of a different order. Our adventure as feminist theorists is one in which we have a large part in creating that which we explore.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".