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Record W2100142602 · doi:10.5430/wje.v2n3p94

Operation of the Handicraft Element of Primary and Junior Secondary Curriculum: Implications for Technological Adavancement in Nigeria

2012· article· en· W2100142602 on OpenAlexvenueno aff
Nath. M. Abraham, Lois Nkechi Abraham, Mark Leigha

Bibliographic record

VenueWorld Journal of Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsHandicraftCraftCurriculumIndigenousBasic educationEconomic growthPovertyElement (criminal law)Political sciencePedagogySociologyEconomicsGeography

Abstract

fetched live from OpenAlex

Technological advancement has been related to national economic growth and poverty reduction by both national and international analysts. Development of indigenous skills (handicrafts or handiwork) is seen as central to successful administration of indigenous skill development critical for solution of contemporary problems in society. In Nigeria, the desire to develop local craft as a basis for technology appreciation and application is well articulated in the National Policy on Education, especially in the basic (primary and junior secondary) education curriculum. It is expedient therefore, to examine the operation of the handicraft element of the basic education curriculum and determine the implications on the nation’s strive to achieve technological advancement. Consequently, relevant terms were conceptualized; the implications for policy operation were treated, and parameters for better operation such as provision of basic infrastructures (libraries, laboratories, workshops, etc), training of local craft teaching staff, in addition to adequate financing were recommended.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.148

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.345
Teacher spread0.321 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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