Bibliographic record
Abstract
According to Mikhail Bakhtin, language is ideologically saturated. The verbal constructs—novelistic discourses as “hybrid constructions” here—are loci where centripetal and centrifugal forces collide. Authorial speech, narrator’s speech, and also characters’ speech are interwoven in the text to exhibit diverse ideas, and to disclose polyphonic textualities. In light of Bakhtin’s aforementioned idea, this paper will discuss O. Henry’s attempts to orchestrate “the voices of the city” in four short stories: “The Gift of the Magi,” “An Unfinished Story,”, “Mammon and the Archer,” and “An Unfinished Christmas Story.” New York is portrayed as an ambivalent setting of prosperity and poverty, of dreams built up and broken. Literary devices such as twist endings, parodic adaptations and incorporated genre not only lay bare the textual fictitiousness, but question the permanency of social systems such as capitalism. In addition, the narrators’ descriptions evoke concerns for the exploited within the text, while the self-reflexive authorial intrusions make comments on the hegemonic capitalism with-out. O. Henry, who “speaks through language,” does succeed in creating texts of heteroglossia. Humanistic compassion for the exploited proletarian and social censure against capitalist violence are both displayed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".