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Record W2157593521 · doi:10.2304/elea.2007.4.1.15

Early Childhood Development and E-Learning in Africa: The Early Childhood Development Virtual University Programme

2007· article· en· W2157593521 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueE-Learning and Digital Media · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsEarly childhoodEarly childhood educationFace (sociological concept)PedagogyPolitical scienceSociologyMedical educationPsychologyMedicineSocial scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

This article explores the development and evaluation of the graduate-level Early Childhood Development Virtual University (ECDVU) programme in Sub-Saharan Africa from 2001 through to 2004. It outlines the history of the ECDVU and the establishing of a Sub-Saharan programme for future leaders in the early childhood field guided by the key principle of community capacity building, developed through the author's involvement in an undergraduate educational programme in aboriginal communities of western Canada. The article explores the role of online technologies in the design, implementation and assessment of the ECDVU programme. A complex mix of online and face-to-face engagement was seen to underpin the programme's success in supporting students to enhance their contribution to the development of early childhood programmes in their respective communities.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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