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Record W2955869820 · doi:10.33137/incite.2.32825

Memory in Diaspora

2019· article· en· W2955869820 on OpenAlexvenueaboutno aff
Mobolu Coker

Bibliographic record

Venuein cite journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaPresumptionIndigenousInterpretation (philosophy)ChoseEthnic groupGender studiesWhite (mutation)PopulationIdentity (music)ImmigrationSociologyHistoryAestheticsPolitical scienceLawAnthropologyArtDemography

Abstract

fetched live from OpenAlex

The pieces that follow are my interpretation of the voices of two women (one fictional, one real) of Caribbean descent who, in response to certain traumatic incidents, are forced to confront their understandings of home. I chose to write from the perspective of these particular characters because their experiences mirror some of my own. My parents’ ethnic background (and my birthplace) is Nigeria. I came to Canada the year I turned seven, almost 15 years ago. While I have lived in Canada for most of my life, I still grapple with whether or not I consider it home. For the most part, this uncertainty has been driven by my experiences with various identity-based questions and the discourses that surround them. For example, what it means to be (perceived) Canadian vs. an immigrant, or what it means to be black vs. African (Nigerian). Questions such as “Where are you really from?” always remind me that “foreign” is a presumption that precedes me. Conversely, nativity has been ascribed to the White European population in a way that systematically marginalizes the history and perpetuates the violent erasure of Indigenous communities, a practice that persists to this day. I do not consider Canada my place of origin—a sentiment shared by many Canadians—yet those with a perceived sense of belonging have vastly different experiences from those who do not. I am fortunate enough to have been raised learning about and continuously engaging with my culture, but even that has had its limits. There is a certain tension, what I would call a double-sided alienation, that often comes with being a first-generation immigrant, particularly of a racialized background. For me, that means not feeling either Nigerian or Canadian“enough,” yet being significantly shaped and socialized by both societies. This is a tension I recognized and wanted to highlight in the stories of the two women mentioned above. Moreover, the continuity between my story and (my representation of) their stories is signified by the framework of memory I adopted in the pieces (i.e., “I had forgotten/I remember”), which is from an earlier poem I wrote about my own experience coming to terms with some of the ways my identity changed after moving to Canada.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.008
Scholarly communication0.0110.008
Open science0.0010.011
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0300.004

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 head0.017
GPT teacher head0.212
Teacher spread0.195 · 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
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

Citations0
Published2019
Admission routes2
Has abstractyes

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