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Record W1516154992

A Family of Migrant Workers: Region and the Rise of Neoliberalism in the Fiction of Alistair MacLeod

2013· article· en· W1516154992 on OpenAlexaffvenueabout
Jody Mason

Bibliographic record

VenueStudies in Canadian Literature · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsCarleton University
Fundersnot available
KeywordsNeoliberalism (international relations)IdeologyGlobalizationGender studiesSociologyPortraitRealismPoliticsUnderdevelopmentPolitical economyPolitical scienceHistoryLiteratureArtArt historyLaw
DOInot available

Abstract

fetched live from OpenAlex

Realism and regionalism are tightly coupled in critical analysis of Alistair MacLeod’s fiction, but Herb Wyile’s recent study Anne of Tim Hortons was the first to examine the ascendance of neoliberal ideologies and the effects of a globalized economy on the workers represented in his fiction. MacLeod’s novel No Great Mischief suggests that the underdevelopment of Atlantic Canada and migration of workers to other regions is a result of nineteenth- and twentieth-century economic and political changes. It traces the history of labour migration as embedded in the birth of neoliberalism, and MacLeod’s portrait of a migrant community acknowledges the effects of a longstanding history of economic globalization on workers from different corners of the world. No Great Mischief is visibly about clan, blood ties, race, and region, but its complex analogies create a kind of metaphorical family of migrant workers – a “family” that evokes the contours of, but is not identical with, the nation.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.678
Threshold uncertainty score0.640

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.027
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.293
Teacher spread0.264 · 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

Citations6
Published2013
Admission routes3
Has abstractyes

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Same venueStudies in Canadian LiteratureSame topicAustralian History and SocietyFrench-language works237,207