Drill Hall or Ball Hall? On Pedagogical Implications of the Old Age Motif in Katherine Mansfield’s Short Story “Her First Ball”
Bibliographic record
Abstract
This article uses the short story, “Her First Ball,” by Katherine Mansfield to demonstrate how fiction could be an effective tool in the process of deconstructing and transforming the master narrative of old age among secondary students of English as secondary language (ESL). The story not only offers some language points to focus on and some reading skills to develop, but it also provokes some pertinent questions about the image and meaning of old age. Aging themes in “Her First Ball” could serve as an excellent starting point for discussion among adolescent learners about old age. Moreover, such an open-ended approach to Mansfield’s story could potentially lead to a deepened awareness of the social impact of the semantics of old age as well as the transformation of students’ conceptualization of becoming mature and growing old. In addition, this article is devoted to rebuke such a purely didactic approach by presenting the literary text as a tool for complex pedagogical practices.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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 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".