MétaCan
Menu
Back to cohort
Record W2732875896 · doi:10.3968/9612

The Impact of Reading and Numerous Initiative on Developing the Basic Skills Among Third Grade Basic Students in Southern Al-Mazar District

2017· article· en· W2732875896 on OpenAlexvenueno aff
Etimad Jamil Al-Jaafreh, Suhair Al-Jaafreh

Bibliographic record

VenueCanadian social science · 2017
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Mathematics educationTest (biology)PsychologyStatistical significanceSample (material)Medical educationPedagogyMedicinePolitical science

Abstract

fetched live from OpenAlex

This study aimed at investigating the impact of reading and numerous initiative on developing the basic skills among third basic grade students in Southern Al-Mazar district, the sample of the study consisted of (49) third basic grade students who were intentionally selected.The instruments of the study were the language and numerous skills acquisition tests. To answer the questions of the study t test was used. The study revealed that there were statistical significance differences in the students achievement on the numerous skills test in favor of reading and numerous initiative. The results of the study also revealed that there were no statistical significance differences in the post total score in the students achievement on the numerous and reading basic skills among third grade students due to the gender. In light of the results of the study, the study recommended adopting reading and numerous initiative in teaching reading and numerous, it also recommended adopting this initiative for the fourth basic grade students.

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)0.000
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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.364
Teacher spread0.327 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCanadian social scienceSame topicEducational Methods and Media UseFrench-language works237,207