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Record W6987131621

Selecting Literature Texts for Kenyan High Schools, 1940 to 1998

2024· other· en· W6987131621 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldPsychology
TopicSemiotics and Cultural Interpretation
Canadian institutionsnot available
FundersCommonwealth Scholarship CommissionYork University
KeywordsHistoriographyIdeologyPoliticsEliteSyllabusGovernment (linguistics)NationalismOfficerSpanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

An examination of the numbers, scope, and genres selected for Kenya’s English and literature high-school syllabi between 1940 and 1998 reveals four types of excluded literature: the 1950-1960 guerilla war for land and freedom; punitive/pacification expeditions; settler- and travel-literature, and orature. The gaps about the people’s resistance to imperialism were partly inspired by Kenyatta’s leitmotif to “forget the past”, which perpetuated the Mau Mau myth and triggered a state-inspired national amnesia about Kenya’s ignored—but not forgotten—independent war heroes. Abetted by pervasive lies, distortions, and omissions, this amnesia permeates Kenya’s media, public fora, and educational system. The dissertation contextualizes and documents Kenya’s historiography and nationalism expounded by Kenyatta’s government in “development” policies and educational goals. Evidence was gathered through conversations, interviews, and library research and includes orature, personal narratives, fiction, nonfiction, magazines, journals, teachers’ manuals, high-school syllabi, national exams, education and development plans and reports, government officials’ statements and speeches, administrative notes, reports, laws, and state acts. Accessing official documents—even lists of suggested texts or circulars convening meetings to select texts—was often complicated since many documents were “classified” as secret. The criteria for selecting texts were often haphazard and partisan, seemingly corresponding to the ideological and political exigencies of neo-colonial Kenya’s largely corrupt ruling elite and its imagination of the nation. For instance, a necessarily anonymous high-level educational officer revealed the existence of a 1980s secret committee—supervised by the Criminal Investigations Department and answerable directly to President—that vetted the final list of suggested texts. Evidence about Kenya’s high-school English and literature syllabi reveals three patterns: the genres studied were reduced slightly, the number of selected books and texts shrank significantly, and controversial topics were avoided or sanitized. Like the nation, the literature curriculum suffers historical amnesia and social, cultural, and political myopia. Moreover, the insipid recycling of texts decade after decade ignores much new material and many authors. Politically skewed, the pattern of selecting literary texts thus prompts questions about Kenya’s goals for education and their grave epistemological, political, and national implications.

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)0.009
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 score0.037
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0370.042
Science and technology studies0.0080.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.005

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 head0.010
GPT teacher head0.211
Teacher spread0.200 · 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
Published2024
Admission routes1
Has abstractyes

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