Two Masquerades and their Spec(tac)ular Effects in Mary Robinson’s Walsingham
Bibliographic record
Abstract
This article examines Mary Robinson’s novel Walsingham (1797) from a Lacanian perspective. By offering readings of the novel’s two masquerade scenes from its narrator’s perspective within the imaginary order, and then tracing his confusion into the symbolic, this essay will seek to explain how (and why) Walsingham makes a spectacle of himself as he enters the very scene of social spectacle. We will find that Walsingham’s lingering in the imaginary—a product of his having made a series of specular identifications—establishes the conditions of his further humiliation even as it establishes the conditions for his eventual entry into the symbolic order. In attempting to forestall sexuation and even derive a certain enjoyment from its forestallment, Walsingham in effect reinforces the phallus and eventually bows to its demands. I argue that Walsingham dramatizes a transition between incommensurate modes of experience, that much of the novel’s plot stems from Walsingham’s entrapment in the imaginary, and that the novel is more invested in establishing characters within normative sexuated positions than enacting any sort of destabilizing gender trouble. Robinson’s novel reveals the force of the patriarchy (despite its unnaturalness) and suggests that sexual, gendered, and economic experience are interlaced through desire. The novel especially suggests that the subject is formed through the experience of the spectacle, and it deploys the entanglements of spectacle so that subjective experience can be seen to reorganize itself in the face of pressures political and social.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".