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Record W4390646697 · doi:10.55849/jete.v1i4.472

Storytelling in Optimizing the Learning of the History of Noah As

2023· article· en· W4390646697 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.

Bibliographic record

VenueJournal Emerging Technologies in Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFormal educationStorytellingFormal learningLife historyMathematics educationSociologyPsychologyNarrativePedagogyLiteratureArt

Abstract

fetched live from OpenAlex

Background. As Muslims, we are obliged to study knowledge to be a provision in life, one of which is history. History is an event that happened in the past that we can learn and take lessons from for future life. Purpose. Derived from Arabic, syajarah, which means tree. Like a small seed that can grow as a big tree. History is considered to bring change, that's why history must be studied. Especially the history of the Prophets and Messengers. Method. . It is very important for children to learn in order to get the wisdom and advice contained therein. Results. Apart from gaining knowledge from formal education, non-formal education is also important for children. Non-formal education is present as a complement to formal education, namely to fulfill certain aspects that are not given in formal education. Conclusion. To fill the school void in certain aspects, it is good that parents can look for alternatives from non-formal education, one of which is by enrolling children in the Al-Qur'an Education Park. Taman Pendidikan Al-Qur'an or commonly abbreviated as TPA.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.255

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 studies0.0000.000
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 head0.033
GPT teacher head0.333
Teacher spread0.299 · 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