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Record W2792959098 · doi:10.1080/14788810.2017.1374757

<i>A mari usque ad mare</i>: Wayde Compton’s British Columbian Afroperiphery

2018· article· en· W2792959098 on OpenAlexaboutno aff
Pilar Cuder–Domínguez

Bibliographic record

VenueAtlantic Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersEuropean Regional Development FundUniversidad de HuelvaMinisterio de Economía y Competitividad
KeywordsDiasporaIndigenousHistoryPoetryLiteratureSociologyGender studiesArt

Abstract

fetched live from OpenAlex

This essay attempts to perform a “disorientation” of received notions about the black diaspora through the work of the black Canadian writer Wayde Compton, a key figure in placing in conversation a circumatlantic mooring of blackness and a Pacific Rim perspective through the construction of a black (Canadian) Pacific as a contact zone with other historical British Columbian populations, most of all Indigenous and Asian. It reads his poetry, short fiction and essays to show how roots and routes come together in Compton’s communal and artistic projects, and how they reconcile the apparently antithetical pulls of regionalism and diaspora, mapping out the connected itineraries of diverse peoples both within the Pacific board of North America and across the Pacific Ocean. The essay traces some of the major symbols and recurrent features of Compton’s work in outlining the cartography of the black Pacific, including the boat and the island, and argues that it is generally inflected by his location vis-à-vis the broader nation as well as by the transnational flows of black history that have shaped not just black British Columbia but also the city of Vancouver and the whole nation-state of 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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0300.009
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.026
GPT teacher head0.271
Teacher spread0.244 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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