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Record W2944571808 · doi:10.13140/rg.2.1.4852.9522

'...beyond the invisible barrier at Portage and Main': Liminality in John Marlyn’s Under the Ribs of Death

2016· other· en· W2944571808 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityProsperityImmigrationSociologyGreat DepressionGender studiesFeelingLawPolitical sciencePsychologyAnthropologySocial psychology

Abstract

fetched live from OpenAlex

Sandor Hunyadi grows up in the working-class community of Winnipeg’s North End. As the teenage son of immigrants, he is faced with poverty at home and prejudice at school. Feeling estranged from his Hungarian parents and excluded from Anglo-Canadian society, he is set on gaining wealth and recognition. In order to become a successful businessman he adopts an English name, takes commercial courses at night school and starts working as assistant manager in a real-estate office. Although his career takes him to “the very threshold of everything he had hoped to achieve”, Alex Hunter loses employment and prosperity when the Great Depression hits Canada. Liminality is a central motif of John Marlyn’s Under the Ribs of Death. First published in 1957, this two-part novel focuses on the development of Sandor Hunyadi/Alex Hunter in pre-World War I and interwar Winnipeg. The young foreign-born Canadian is portrayed in a variety of liminal spaces, ranging from the meeting place of the neighborhood gang to the local railroad station where immigrants arrive. More significantly, he experiences change and transition at multiple levels, passing from boyhood to adulthood, crossing from minority to mainstream culture, and moving from his family home in the slums to the business world on Main Street. In short, his life is marked by permanent liminality.

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: Other · Consensus signal: Other
Teacher disagreement score0.851
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0280.016
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.028
GPT teacher head0.251
Teacher spread0.223 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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