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Record W1564746303

Dealing with Another Culture's Ghosts: Diaspora and Contact Zones in M. G. Vassanji's The Book of Secrets

2010· article· en· W1564746303 on OpenAlexaffvenue
David Wf Mount

Bibliographic record

VenuePostcolonial text · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiasporaHomelandHybridityIdentity (music)SociologyEthnic groupPoliticsGender studiesImmigrationPower (physics)Media studiesAestheticsAnthropologyPolitical scienceLawArt
DOInot available

Abstract

fetched live from OpenAlex

Stuart Hall, in 'Cultural Identity and Diaspora,' reminds us that the old, imperializing and hegemonizing definition of diaspora refers 'to those scattered tribes whose identity can only be secured in relation to some sacred homeland to which they must at all costs return, even if it means pushing other people into the sea' (244). Hall goes on to describe the diasporic experience as one that is marked by difference, transformation, and hybridity, and he challenges us to conceptualize diaspora in a manner that does not depend upon the centrality of the homeland. At the same time, we must not erase the distinctions between various forms of transnational mobility and displacement. While diasporic and immigrant experiences can be similar, they are not necessarily interchangeable; not all immigrants are members of diasporic communities, and not all members of diasporic communities are immigrants. What we must acknowledge when speaking about diasporas is the overarching presence of at least one outside force, such as imperial power, colonial authority, natural catastrophe or economic, social or political upheaval, to name just a few. M. G. Vassanji is one author whose fiction illustrates this difference through its multigenerational scope, which shows how the Shamsis' ethnic identity, while enduring in the diaspora, becomes transformed as it comes into contact with other ethnicities and cultures.

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 score0.881
Threshold uncertainty score0.979

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 studies0.0000.001
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 head0.007
GPT teacher head0.253
Teacher spread0.246 · 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

Citations2
Published2010
Admission routes2
Has abstractyes

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