Bibliographic record
Abstract
Stanley Cavell closes Contesting Tears with a chapter titled “Stella’s Taste: Reading Stella Dallas”, devoted to the 1937 movie, directed by King Vidor, which Cavell compares to the other movies he has studied in the book and finds “to be the most harrowing of the four melodramas to view again and again.” Cavell’s reading of this movie is organized against what he calls the generally “accepted view” of the film where there are two key interpretive moments: in one, Stella, the protagonist, on vacation with her teenage daughter, Laurel, at a fancy hotel, tries to impress Laurel’s new friends by dressing up and ends up making a fool of herself, in a spectacle of bad taste; Stella then finds out what people thought of her and realizes she has embarrassed Laurel, eventually deciding to drive her daughter away from her, towards her father (Stella’s now ex-husband); this takes us to the second key moment: the final scene, where Stella anonymously watches her daughter’s wedding from the sidewalk, through a window, and walks away, which is generally seen as confirming Stella’s sacrifice, representing the dissolution of motherhood — hence, of her identity.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".