Applying Jean-Paul Sartreʼs Theory of “Bad Faith” to Tennessee Williamsʼ A Streetcar Named Desire : An Existential Study
Bibliographic record
Abstract
Blanche felt being trapped in a world in which she cannot extricate herself by any means, so she preferred to be ruled and defined by others, an inclination Sartre named “bad faith”, letting others define her character, whether the past, her sister, her beloved or her traditional way of thinking that every woman is in need of a male protector; that is why she tried to hide her past, for she thought its disclosure would be an obstacle in her way to ensnare a man so she tried to deceive herself and others into thinking she is what she wanted to be but felt unable and implausible to be. Self deception from which Blanche is suffering, is a form of bad faith. She lived in a world of fantasy with a mask of pretension which was shattered by the harsh reality at the end, when she was driven to an asylum due to her neurotic behavior and mental breakdown for all the pressures she imposed upon herself to keep up appearance but ended up in ruining her instead of saving her. Key words: Existentialism; Bad Faith; Self-deception
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".