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Record W2520681500 · doi:10.17615/kkh5-nd57

Family Narratives and the Transmission of Heritage in Transcultural Novels

2019· article· en· W2520681500 on OpenAlexaboutno aff
Robert Sapp

Bibliographic record

VenueCarolina Digital Repository (University of North Carolina at Chapel Hill) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeHistoryAestheticsSociologyArtLiterature

Abstract

fetched live from OpenAlex

This dissertation examines the influence of the family on identity formation in Francophone literature. I focus on six novels by twentieth and twenty-first century authors from the Maghreb, the Middle East and Québec. The novels of Leïla Sebbar, Catherine Mavrikakis, Jacques Poulin, Abla Farhoud and Wajdi Mouawad feature the struggles of young, often immigrant, protagonists whose attempts to reconcile past and present within the family reflect on larger social themes of migration and cultural fusion in transcultural contexts. I consider the ambiguous role of the family in maintaining and propagating heritage in each. Specifically, I study the rupture of traditional means of preserving filial ties, such as a shared language and a common history, and examine the impact of this breakdown in transmission on identity formation in these texts. Taking into account sociological treatises on changing forms of the family, theories of immigrant literature and the transcultural exchange at work in

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0190.020
Scholarly communication0.0090.006
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.155
Teacher spread0.148 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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