Mid-course correction: ‘Don’t ask, don’t tell’ and Stargate SG-1 femslash
Bibliographic record
Abstract
Abstract This article explores Stargate SG-1 (1997–2007, SciFi) fanfiction responses to the ‘don’t ask, don’t tell’ (DADT) policy of the United States Department of Defense. It examines 58 examples of femslash that depict a same-sex relationship between char- acters Samantha Carter and Janet Fraiser. It suggests that this fanfiction mirrors the evolving public debates regarding lesbians and gays in the military and critiques DADT in two ways. First, the femslash demonstrates that the television show repre- sents a realistic version of conditions under DADT. The second approach uses the science fiction elements of the series to critically comment on the assumptions behind DADT, such as unit cohesion based on compulsory heterosexuality. Sam/Janet femslash insists on the possibility of a valid lesbian existence within the US military and beyond.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".