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Record W3145426683 · doi:10.29173/iasl7514

Creating Love for Reading via Inclusion of African Talking Drums in School Library Media Centre Activities

2021· article· en· W3145426683 on OpenAlexvenueno aff
Fadekemi Oyewusi

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsnot available
Fundersnot available
KeywordsMedia centerSchool libraryInclusion (mineral)IndigenousReading (process)Presentation (obstetrics)DrumVisual artsMedia studiesSociologyLibrary scienceArtHistoryComputer sciencePolitical scienceGender studies

Abstract

fetched live from OpenAlex


 
 
 The African drum is an important instrument of communication in traditional African societies which serves as the voice of the whole community and it communicates desired information. Children that do not come to the school library media center can be attracted through the inclusion of African drums in her activities. This paper discusses ways through which children could be attracted to the school library media centers for her readership campaign programs through the use of the African talking drums. African drums can be used through role plays, songs, dances and dramas of literature such that children would get interested in reading accessible books in their library. The paper talks about who plays the drum and the indigenous African stories that include the use of drums as a medium of communicating story themes. The paper also highlights some activities carried out by a school library media center in Nigeria (with graphic details) on how some of these drums were utilized. Pictorial examples and presentation of the African drums would be presented during discussions. The African Drum should be seen as a significant technique that could be used in attracting children back to read in the school library media center.
 
 

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.004
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 head0.017
GPT teacher head0.241
Teacher spread0.224 · 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.

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
Published2021
Admission routes1
Has abstractyes

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