En/Gendering Trouble with J. J. Abrams’s Rey in <i>The Force Awakens</i>: Re-Subjecting the Subject to a Performative Subjectivity
Bibliographic record
Abstract
Episode VII: The Force Awakens follows a trend in disrupting the privileging of the heroic protagonist as male, refusing to frame women by enforcing a particularly male self-projected binary for popular consumption. Yet this article argues in the first place that this turn is less transgressive of hegemonic gendered norms than might appear to be the case to the inattentive viewer of the saga. An important reason for this, and second in the logic of the argument of the article, the construal of the very form of Rey’s subjectivity involves an ontological intensification of the Cartesian subject rather than its reconfiguration. In other words, it demands an active or autonomous subject rather than a dialectically historical process of subjectivation. The third claim is that Rey is caught up in being subject to the movie’s political conservatism, and this involves the assumption of a binary code at a particularly crucial point, reinforcing the concerns about the determinative subjectivity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".