The "context of situation" in Tirso's <i>La mujer por fuerza</i>
Bibliographic record
Abstract
This article was written by the late Premraj Halkhoree over twenty years ago as an Appendix to his Ph.D. thesis on "Social and Literary Satire in the Comedies of Tirso de Molina." The dissertation, directed by A. A. Parker and submitted to Edinburgh University, has now been published, newly edited and abridged, by Henry W. Sullivan and myself, under the same title, as volume 5 of Ottawa Hispanic Studies (Ottawa: Dovehouse, 1989), 293 pp. Taking as his starting point Malinowski's idea that "...the situation in which words are uttered can never be passed over as irrelevant to the linguistic expression," Halkhoree shows that the comic effects of La mujer por fuerza depend mainly on the fact that certain characters deliberately interpret literally words which are not intended to be taken at face value. The play also exemplifies the conventional use of the dramatic device of the female page, taken in this comedy to its absurdly logical conclusion. The article also deals briefly with questions concerning the play's authorship, female characterization and other related matters.
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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 | 0.001 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".