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Record W7030641441

`Nyoko-Nyoko`: an unpublished short story by Saad Yahyai

2012· other· en· W7030641441 on OpenAlexaboutno aff

Bibliographic record

VenueQucosa (Saxon State and University Library Dresden) · 2012
Typeother
Languageen
FieldMaterials Science
TopicX-ray Diffraction in Crystallography
Canadian institutionsnot available
Fundersnot available
KeywordsThe ImaginaryWhite (mutation)SwahiliCharacter (mathematics)Everyday lifeState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Saad Yahya, born in Zanzibar in 1939, studied architecture and town planning in Great Britain and in Canada; since 1968 he has lectured at the University of Nairobi. He portrays everyday life of typical inhabitants of Zanzibar and Nairobi, displaying a penetrating understanding of their problems and of their state of mind, linked with a remarkable stylistic ability. He is an acute observer who presents his characters with humour and irony, but also with a profound insight. Furthermore, in his stories, under the surface of everyday activities there is always some hidden antagonism or passion, never spelled out, but only alluded to. Several years ago Yahya sent me the manuscript of two other stories which I hoped to translate and publish in Italy, but ultimately it was not possible. I have included one of them, called Nyoko-nyoko and consisting in five typewritten pages, in the syllabus of my literary courses in Naples and in Paris. It is a rare - if not unique - Swahili story in which the main character is a Mzungu, a white man: the British governor of an imaginary East-Aftican country called Nyalia, who has to abandon his post suddenly for unspecified reasons. He regrets to must leave the country he has learned to know and to like; however, behind the mask of liberality and tolerance is hidden a self-conceited racist. The story describes his last day in Africa after a long stay.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.005
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.000

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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 teacher head, not a consensus.

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
Published2012
Admission routes1
Has abstractyes

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