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Record W3188530853 · doi:10.21786/bbrc/14.8.39

Conversion and Identity in James Sewid’s “Guests Never Leave Hungry

2021· article· en· W3188530853 on OpenAlexaboutno aff
Kodhandaraman Chinnathambi

Bibliographic record

VenueBioscience Biotechnology Research Communications · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Jewish Fiction Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Political scienceArtSociologyAestheticsBusiness

Abstract

fetched live from OpenAlex

Identity and representation are the key areas in postcolonialism underscoring freedom from oppression.In the Canadian postcolonial context, identity politics lies at the heart of representation of the First Nations as regards their cultural and literary identity.The mainstream research studies of the culture and literature of the First Nations applies postcolonial theories on Canadian First Nations literature and takes as its point of departure "the arrival of Europeans".Hence, the identity of the First Nations is represented through the optics of colonialism and postcolonialism.This synchronic approach either subsumes the First Nations' literature under postcolonial Canadian literature or under a literature of lamentation, thereby enshrouding the distinctness of the First Nations' literature.In order to highlight the uniqueness of their literature and the limitations of the postcolonial approach when applied to it, this paper examines (a) spirituality and religion, (b) Native missionaries and differing perspectives of conversion, and (c) First Nations Identity, in Guests Never Leave Hungry written by James Sewid.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0150.011
Scholarly communication0.0050.001
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.130
GPT teacher head0.399
Teacher spread0.270 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBioscience Biotechnology Research CommunicationsSame topicAmerican Jewish Fiction AnalysisFrench-language works237,207