Seeking New Civilizations: Race Normativity in the <i>Star Trek</i> Franchise
Bibliographic record
Abstract
As with many science fiction works, the Star Trek franchise uses allegory to address contemporary social issues. Taking a liberal humanistic stance, it addresses race and racism using aliens as allegorical stand-ins for humanity. However, the producers of the Star Trek franchise were inadvertently perpetuating the racism they were advocating against. Operating within the framework of normative Whiteness, the producers privilege the White American male as the average human being. The characters of other racial and cultural backgrounds try to assimilate into the normative Whiteness defined by the producers or they are simply in the background to support the White lead characters. By drawing on previous work on the original series and The Next Generation, this article examines episodes from Deep Space Nine, Voyager, and Enterprise to determine how the Star Trek franchise reinscribes, or sometimes destabilizes, the mode of racial and cultural homogeneity assumed by the producers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.021 | 0.031 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".