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Record W4389776791 · doi:10.1080/00083968.2023.2255309

Torn between tradition and modernity: images of youth in the fictional work of Mariama Bâ

2023· article· en· W4389776791 on OpenAlexvenueno aff
Khadidiatou Diallo

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsModernityDepictionSociologyGender studiesPatriarchyScholarshipRedressIdentity (music)Context (archaeology)AmbivalenceAestheticsDeconstruction (building)PsychoanalysisEpistemologyHistoryArtLiteraturePolitical sciencePsychologyPhilosophyLaw

Abstract

fetched live from OpenAlex

This paper examines Mariama Bâ’s depiction of the hectic lives of young Senegalese, faced with the dictates of tradition and realities of modernity. If a great deal of scholarship has studied her feminist deconstruction of patriarchy, few studies have highlighted her depiction of young men and women negotiating the necessity to reconcile modernity and social pressures. This study explores Bâ’s representation of the young, torn between tradition and modernity. While analysing the implications of such an ambivalent condition, the paper highlights, from a sociological and feminist perspective, the alternatives set forth by the writer for cultural synthesis and the reevaluation of the social status of the young, in a context of patriarchy and gerontocracy. I argue that the youth in the novels strive to redress aspects of local culture, and to address cultural dissonances from contact with new cultural norms, through a redefinition of identity and gender roles.

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)0.002
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 score0.017
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0170.016
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0020.004
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 head0.070
GPT teacher head0.261
Teacher spread0.191 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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