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An Implication of Cultural, Racial and Ethnic Plurality in Margaret Laurence's -The Diviners

2021· article· en· W4207066907 on OpenAlexaboutno aff
Rajiv Bhimrao Kamble

Bibliographic record

VenueMotifs A Peer Reviewed International Journal of English Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupAnthropologySociologyHistory

Abstract

fetched live from OpenAlex

Margaret Laurence, one of the foremost women writers of Canada meticulously strives to reconstruct the lost identities of the cultural groups of Africa and Canada in the last decades of the twentieth century. Lawrence's Manawaka series for instance, is the deliberation of the cultural groups of indigenous, colonial and immigrants. These varied cultural groups constitute the ‘Canadian Multiculturalism’ as its unique cultural identity. Margaret Laurence rigorously endeavors to portray a naked and realistic picture of Canadian multiculturalism in an imaginary fictional work. The present novel reveals the fact of the multicultural groups have meticulously striving for getting social recognition by means of their rebellion against the atrocity of racial discrimination and experiences of the barbaric disturbances among the ethnic groups. It is all about the nineteenth-century Scottish settlers in the region of Red River and the indigenous Metis. It is also the representation of a woman's quest for having a comprehensive understanding of human community. The novel sheds the light on the lost historical impressions of the indigenous group such as the Metis, in the folktales and songs, and their confrontation with the Sutherlanders for survival.

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)0.003
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 score0.739
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0390.035
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.415
Teacher spread0.355 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueMotifs A Peer Reviewed International Journal of English StudiesSame topicIrish and British StudiesFrench-language works237,207