Bibliographic record
Abstract
From the point of view of narrating techniques, this thesis attempts to analyze how the double structure and the multiple internal focalizations employed in the novel attribute to the novel’s aesthetic effect and the recreation of the theme on the readers’ side. Key words: Beloved,Double Structure,Multiple Internal Focalization,Aesthetic Effect Resume Cet article va analyser,sous l’angle de la technique narrative,les effets artistiques de la double structure et du procede narratif de multi-endofocalisation et leur role de guider le lecteur dans la recreation du theme dans la roman Favori de l’ecrivaine noire americaine Toni Morrison. Mots cles: Favori,la double structure,la multi-endofocalisation,les effets artistiques 摘 要 本文擬從敍事技巧的角度出發去分析美國黑人女作家托尼 •莫里森的長篇小說《寵兒》文本中表層和 深層雙重結構以及多重式內聚焦的敍述手法的藝術效果，尤其是對引導讀者對作品主題進行再創造的作用。 關鍵詞：《寵兒》；雙重結構；多重式內聚焦；藝術效果
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".