Inner and outer worlds: speech and thought presentation in Mansfield’s<i>Bliss</i>
Bibliographic record
Abstract
Abstract Despite renewed attention to Katherine Mansfield’s writing in recent years, her work continues to be read largely for “its political and emotional sensibilities and so seldom... for the controlled effects of stylistic detail” (New 1999.Reading Mansfield and metaphors of form. McGill-Queen’s Press-MQUP: viii). In this article we consider her story “Bliss” in relation to how Mansfield choreographs the interplay between the inner and outer worlds of the central character and the consequences of her textual crafting of this interplay for a reading of the theme of Mansfield’s story. We draw largely on what is now considered “classical” stylistics, that is, stylistics informed by a social-semiotic linguistics (e. g. Butt 1983. Semantic Drift in Verbal Art.Australian Review of Applied Linguistics,61, 34–48; Halliday 2002.Linguistic Studies of Text and Discourse. Volume 2 in the Collected Works of M.A.K. Halliday. London and New York: Continuum; Hasan 1985.Linguistics, Language and Verbal Art. Geelong, VIC: Deakin University Press; Hasan 1996a. On Teaching Literature Across Cultural Differences. In J. James Ed.,The Language-Culture Connectionpp. 34–63. Singapore: SEAMEO; Leech and Short 2007.Style in Fiction.2nd Edition. London. Longman; Semino and Short 2004.Corpus Stylistics: Speech, Writing and Thought Presentation in a Corpus of English Writing. London: Routledge; Sotirova 2013.Consciousness in Modernist Fiction: A Stylistic Study. Palgrave Macmillan; Toolan 2001.Narrative: A critical linguistic introduction. Second Edition. Routledge; Toolan 2007. Language. In D. Herman Ed.,The Cambridge companion to narrativepp. 231–244. Cambridge University Press;). Given the extensive variety of contributions to “post-classical” or “cognitive narratology” e. g. (Herman 2007. Introduction. In D. Herman (ed.),The Cambridge companion to narrative. Cambridge, UK: Cambridge University Press; McHale 2014. Speech Representation. In P. Hühn, J. C. Meister, J. Pier, & W. Schmid Eds.,living handbook of narratology. Hamburg: Hamburg University. Retrieved from http://www.lhn.uni-hamburg.de/ ; Palmer 2004.Fictional minds. University of Nebraska Press) we briefly comment on why we have not taken this direction in our analysis.
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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 | 0.011 |
| 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 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".