MétaCan
Menu
Back to cohort
Record W2090175719 · doi:10.1558/rosa.v3i2.203

‘O Our India!’

2010· article· en· W2090175719 on OpenAlexfundno aff
Catherine Robinson

Bibliographic record

VenueReligions of South Asia · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
FundersDalhousie University
KeywordsBuddhismOrientalismIdeologyReligious studiesCharacter (mathematics)AllegationConsciousnessState (computer science)HistoryStrengths and weaknessesSociologyAncient historyPhilosophyLawEpistemologyPolitical sciencePoliticsArchaeology

Abstract

fetched live from OpenAlex

Sir Edwin Arnold (1832–1904), a now neglected figure, was once honoured and revered. Focusing on Arnold’s varied writings on Indian themes, this article presents a case for reassessing his role and importance, concentrating on his contribution towards disseminating knowledge of Indian religions to Western readers and particularly his influence upon Buddhism both in terms of Western attitudes and Eastern responses. It applies Said’s theory of ‘Orientalism’ to analyse Arnold’s life and work, thereby illustrating some of the strengths and weaknesses of Said’s approach as well as some of the complexities of Arnold’s character. Arnold is shown to have pursued a popularizing project yet appealed to scholarly findings, discussed the distinctions between ‘East’ and ‘West’ but also their continuities and expressed an overt imperial ideology though critiquing it in certain respects. Addressing one allegation levelled against Said, that he does not acknowledge the depth and breadth of the ‘East’s’ impact upon the ‘West’, this article explores a range of issues centred on The Light of Asia and Buddhism. Thus it demonstrates how Arnold changed Western attitudes towards Buddhism and, through raising consciousness of the state of Bodhgaya, stimulated a campaign that was to have far-reaching consequences for ‘modern Buddhism’.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.927
Threshold uncertainty score0.276

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)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.232
Teacher spread0.213 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueReligions of South AsiaSame topicPostcolonial and Cultural Literary StudiesFrench-language works237,207