Foucault’s Resistance and Sartre’s Transcendence in At the Bay and Bliss by Katherine Mansfield
Bibliographic record
Abstract
In a couple of her stories, Katherine Mansfield (1888-1923) dealt with female characters who feel trapped and got bored of their roles as loving mothers and wives, yet feel obliged to play their roles, though reluctantly; then as a result of their dissatisfaction, signs of resistance are observable. As prototypes of Foucauldian subjects they exercise power by being assertive and resisting the dominant patriarchal discourse. They balk at motherhood and conjugal life, at devoting themselves entirely to the prescribed role society has imposed, namely to be sacrificial, ignorant of themselves and catering to their husband and children’s needs but they cannot totally break free of them as Nora did in Henrik Ibsen’s A Doll’s House (1879). During the time Mansfield wrote her stories a typical woman was expected to play a sacrificial role, ignore her own needs and desires and lead a routine-like life, but as Sartre held individuals “are not exclusively characterized by fixed and given characteristics [that is, by their facticity], but are also constituted in some way by what Sartre calls their possibilities-by what they are aiming at, or beginning, or projecting themselves toward” (Howells, 2006, p.108). The present article aims to present the female protagonists of these two short stories as Foucauldian and Sartrean subjects resisting and transcending their predetermined roles.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.037 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".