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Record W2207126132 · doi:10.1017/cbo9780511581335.008

Conclusion: The Wild Irish Boy in India

2007· book-chapter· en· W2207126132 on OpenAlexaff
Julia M. Wright

Bibliographic record

VenueCambridge University Press eBooks · 2007
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIrishGeographyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

“There is a white boy by the barracks waiting under a tree who is not a white boy.” Rudyard Kipling, Kim (1901) In 1901, Rudyard Kipling published one of the more famous and widely discussed imperialist texts of the late Victorian period: Kim . The title character is a child who is devoted to a Tibetan lama and reluctant to attend an English-run school, but is happy to spy for the British Raj. He is, moreover, uniquely fitted to act as a spy in India because he has been raised in India among Indians, rather than in British enclaves, and so can “pass” as Indian. But Kipling's Kim , as I would like to argue here by way of concluding my larger study, is the product not only of the Indian Mutiny of 1857–1858 and the consolidation of British power in Victorian India, but also of the cultural threads that I have been tracing which both align and carefully distinguish between Ireland and India as colonized spaces. Kim is Irish – in many regards a “wild Irish boy” because uneducated and largely unparented – and the specifics of Kipling's representation of Kim seek to detach useful Irish characteristics from the Irish context in order to put them to work in the Indian context. While postcolonial readings have generally conflated Kim with the British and, more recently, represented him as a figure of whiteness, Kipling specifies Kim's Irishness and on terms that necessarily complicate his alignment with imperial hegemony.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.058
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0580.021

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 head0.033
GPT teacher head0.201
Teacher spread0.168 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2007
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicSouth Asian Cinema and CultureFrench-language works237,207