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Record W7110980744 · doi:10.6184/tkr201612-6

非我家園?:華山吉《維克蘭拉爾的中間世界》中旅行的意義

2016· article· en· W7110980744 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureColonialismIndependence (probability theory)Identity (music)BiographyPoliticsOrder (exchange)Everyday life

Abstract

fetched live from OpenAlex

M. G. Vassanji's The In-between World of Vikram Lall describes how the life of the eponymous protagonist, a third-generation Asian African, is affected by Kenya's independence struggle and its post-colonial aftermath. This essay analyses how this novel uses the motif of travel in order to explore the possibilities and difficulties for Asian Africans to make East Africa their true home. It is often through travel that the protagonist re-examines some facets of his "Kenyan" identity. This essay first explains how the novel reflects the historical particularities of Asian Africans in colonial East Africa, and how those particularities affect the protagonist's early life and his sense of belonging. It then discusses the significance of the trip his family takes when he is an eight-year-old boy, analysing how this journey allows him to bracket the instability of his identity and deepen his sense of geo-cultural belonging. Next, the journeys the adult protagonist undertakes in post-independent Kenya are examined. These trips function as occasions to reaffirm his sense of belonging to the country in spite of the deepening political corruption and his own involvement in it. Lastly, the essay explores the importance of Canada, where he hides himself after fleeing Kenya and writes the autobiography that constitutes most of the novel. The geo-cultural distance between Canada and Africa forces the protagonist to question his relationship with Kenya and ultimately makes him decide to go back to the country.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.004

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.

Opus teacher head0.013
GPT teacher head0.273
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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