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Record W1825876350

Prospects for technical education contributing towards the development of early childhood education/development in Zimbabwe

2014· article· en· W1825876350 on OpenAlexaboutno aff
Peter Kwaira

Bibliographic record

VenueOpenDocs (Institute of Development Studies) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsnot available
FundersStrong
KeywordsSyllabusChristian ministryCurriculumCraftPolitical scienceIndependence (probability theory)PedagogyEconomic growthEarly childhood educationSociologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Early Childhood Education/Development (ECE/Dj is an area that has continued to receive special attention since independence in Zimbabwe. Among other things, evidence of this includes a development way back in the early 1990s when the University of Zimbabwe (UZ) established links with Concordia University (CU) of Canada in an effort to promote the development of ECE/D in the country. This resulted in exchange programs where lecturers spent time at Concordia and vice-versa. Since then, several workshops have been held in Zimbabwe with special emphasis being concentrated on the nature of activities taking place in pre-school centres around the country. This has also had implications on curriculum development where there has been a strong drive to improve on the syllabus and other related materials. Methodologically, this paper developed from a document analysis of the handbook; 'Curriculum for the Child- Early Childhood Education and Care Programme - Zimbabwe'published by the Ministry of Community Development and Women's Affairs in 1993 and revised in 1999. This is where, for the purposes of this paper, 'Art and Craft'were identified as areas deserving special attention. A journal article on early childhood development programmes and technical education in Zimbabwe.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.041
GPT teacher head0.355
Teacher spread0.314 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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