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Idealisations of self and nation in the thought of diaspora intellectuals

2008· article· en· W2097034830 on OpenAlexaff
Dean Kostantaras

Bibliographic record

VenueNations and Nationalism · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsYork University
Fundersnot available
KeywordsDiasporaColonialismIndependence (probability theory)PhenomenonSociologyCapital (architecture)AestheticsConvergence (economics)HistoryGender studiesAncient historyArtPhilosophyEpistemologyEconomic growthArchaeology

Abstract

fetched live from OpenAlex

ABSTRACT. Diaspora intellectuals have often played prominent roles in the formation of national revival and independence movements. This article explores the factors that may help to explain this phenomenon through a survey of the literary responses of intellectuals from Eastern Europe, colonial Africa and Asia to their experiences in the capital cities of Western Europe over the early modern and modern era. These reactions, expressed through the writings of influential figures such as Adamantios Koraes and Leopold Senghor, reveal, in their thematic convergence, aspects of such encounters that have remained consistent over time. Portrayed throughout are the emotional hardships of talented individuals who found their status suddenly conditioned by the ideas associated with their places of origin in the host society's imagination. Unwilling, for reasons explored below, to submit passively to these affronts, the individuals studied here threw their energies instead into ambitious projects of national re‐imagination and rehabilitation. The article makes use, finally, of the rather visceral quality of the literature surrounding the experience of diaspora intellectuals to account for the complex weave of modern and traditional elements often exhibited in the new idealisations of self and nation that appear throughout their works.

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)0.009
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.063
Scholarly communication0.0120.006
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.241
Teacher spread0.192 · 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 designQualitative
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

Citations13
Published2008
Admission routes1
Has abstractyes

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