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Record W1565803281 · doi:10.5539/ells.v5n2p53

Jomo Kenyatta’s Speeches and the Construction of the Identities of a Nationalist Leader in Kenya

2015· article· en· W1565803281 on OpenAlexvenueno aff
Steve M. Mutie, Antony Somba Mang’oka, Bernard Chemwei, Nelly Nzula Kitonga

Bibliographic record

VenueEnglish Language and Literature Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsnot available
Fundersnot available
KeywordsConstruct (python library)NationalismIdentity (music)EpistemologyKenyaSociologySubject (documents)AestheticsSpace (punctuation)Character (mathematics)PhilosophyPoliticsLawPolitical scienceComputer scienceLinguisticsMathematics

Abstract

fetched live from OpenAlex

This paper discusses the speeches of the late Jomo Kenyatta, founding President of the Republic of Kenya. It focuses on one of the books that Kenyatta wrote Suffering without Bitterness and interrogates how he uses this literary text to navigate against the prevailing representations of him to construct his identities that portray him as a nationalist leader. The paper proceeds from the understanding that literature envoices the human person and subjectivises him. It constitutes an ideal arena for the subject’s intense mental work and of his revealing of himself to the world. This paper argues that it is in Kenyatta’s text that he constructs his identities. Suffering without Bitterness contains a great deal of knowledge regarding Kenyatta’s character insofar as it applies to the contemporary Kenyan reality. In particular, this paper argues that from Suffering without Bitterness we acquire a great deal of knowledge concerning the processes of Kenyatta’s identity formation insofar as it relates to the way he constructs his sense of self and relate it to his circumstances. It will be recalled that it is primarily on the basis of the frames of reference that we possess as individuals, or authors, that we are able to asses and make sense out of our circumstances. We construct our identities on the basis of our differential relationships with one another, on the basis of which we delineate a “space” that possesses attributes that are different from all other entities in the universe and are, therefore, unique.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.284
Teacher spread0.267 · 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.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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