Left Behind By the Alter: Why Queers and Sociologists Need Materialist Feminism
Bibliographic record
Abstract
<p class="FrontMatterbody">The United States marriage rights movement just culminated in July 2015 with the Supreme Court declaring same-sex marriage constitutional. The mainstream — the mainstream media and the mainstream LGBT rights movement — all applaud this trajectory, with no attention to those who get left behind in marriage politics. In this paper, I will argue that same-sex marriage is in need of a materialist feminist analysis. I will critique my discipline — Sociology — for failing to adequately theorize same-sex marriage as a key component of the 21<sup>st</sup> Century landscape of the capitalist mode of production. I will also critique the mainstream LGBT rights movement and the media attention given same-sex marriage for their lack of attention to the classed relations embedded in marriage rights. A materialist feminist analysis will allow us to see that there’s still a need for a larger, more emancipatory sexual politics. </p>
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".