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Record W2111414582 · doi:10.21083/ajote.v2i2.1777

A Comparative Analysis of the Image Status of Nigerian Teachers: 1960-1985 and 1986-2010

2012· article· en· W2111414582 on OpenAlexvenueno aff
Oyeleke Oluniyi

Bibliographic record

VenueAfrican Journal of Teacher Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsEpoch (astronomy)Government (linguistics)PsychologySample (material)Mathematics educationSchool teachersMedical educationMedicineComputer science

Abstract

fetched live from OpenAlex

The paper examines the activities of teachers in two different historical epochs of Nigerian history. Relevant literatures were reviewed which borders on the commitment and official roles of teachers from the time of missionary sole control of education to post-independent era. Comparative analysis of the two epochs were examined in terms of teachers commitment, degree of motivation and training, tendency to engage in other paid work outside teaching and the degree of communal involvement. The study adopted a survey design. One hundred and fifty teachers from Ayedaade Local Government Area of Osun State were used as the study sample. Questionnaire was designed, validated and administered. Data collected were analyzed using simple percentage. The teachers in the first epoch, 1960 – 1985, were rated higher based on their positive impacts on teaching-learning than the second epoch group, 1986 - 2010.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.373
Teacher spread0.338 · 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 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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