MULTICULTURALISM IN THE ANALOGICAL NOVELS: A PALE VIEW OF HILLS AND A TALE OF TIME BEING
Bibliographic record
Abstract
Abstract A Pale View of Hills, penned by Kazuo Ishiguro, a Britisih-Japan author, and A Tale of Time Being, written by Ruth Ozeki, an American-Canadian author, are homogenous works in terms of their depiction of multiculturalism and its effects. They both depict multiculturalism in a cosmic and social sphere and it is observable in their depiction of the interactions between individuals of Japanese, American, English, and Canadian origins. Additionally, they show multiculturalism in international and historical spheres. This article examines Ishiguro’s characters, such as Etsuko, Sachiko, Mariko, Keiko, and Ozeki’s characters, such as Neo, Ruth, Kimi, and Haruku, who are highly similar in their understanding of multi-culturalism in an analogical and comparative way. Although this article also goes beyond the fictional narratological spheres that these characters are involved in and shows international and historical facts related to multicultural interaction, it only offers information about multiculturalism in a fictional sense, not fully life-like information. In order to be able to make a successful analysis based on examination and interpretation, it is very important to have ideas and knowledge on many subjects such as the period in which the work was produced, the conditions, the social structure, politics and sociology. In order to achieve this goal, information about the above-mentioned subjects was obtained and then the works was examined. This examination was done through tracking down and finding out the similarities between to two aforementioned works and was done also through showing direct citations from the examinations about finding out similarties between the two aforementioned works. Keywords: A Pale View of Hills, Kazuo Ishiguro, A Tale of Time Being, Ruth Ozeki, multiculturalism, history.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".