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Record W2018484183 · doi:10.1353/ari.2014.0033

Late “Arrivants” to Creative Writing: An Interview with Lucy Dlamini

2014· article· en· W2018484183 on OpenAlexaff
Kerry Vincent

Bibliographic record

VenueAriel · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsAcadia University
Fundersnot available
KeywordsDramaPoetryPublishingCreative writingLiteratureArtSoulSociologyMedia studiesHistoryPhilosophyTheology

Abstract

fetched live from OpenAlex

Lucy Dlamini is a Senior Lecturer and Head of the Department of English Language and Literature at the University of Swaziland. She has published drama and fiction in English and siSwati. Dlamini’s English language fiction includes the novel The Amaryllis (2001), as well as short stories that explore how local patriarchal structures exploit tradition and culture to subjugate women. She has also written a play in siSwati, Kuba Njalo Nje (1995), and edited two poetry anthologies, The Soul Selects (2008) and When Fishes Flew & Other Poems (2009). In the interview, Dlamini discusses early influences on her writing, local Anglophone and siSwati writing, censorship, and the publishing industry in Swaziland.

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)0.009
metaresearch head score (Gemma)0.017
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 score0.030
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0250.021
Scholarly communication0.0120.008
Open science0.0020.007
Research integrity0.0040.012
Insufficient payload (model declined to judge)0.0030.001

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 head0.036
GPT teacher head0.241
Teacher spread0.205 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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