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Record W2097432575 · doi:10.5539/ass.v10n22p156

The Arabic Language Level of Candidates for Malaysia Religion High Certificate (MRHC): Reading and Grammar

2014· article· en· W2097432575 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicArabic Language Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGrammarCertificateArabicLinguisticsReading comprehensionTurkishTest (biology)Reading (process)PsychologyComputer scienceMathematics education

Abstract

fetched live from OpenAlex

Malaysia Religion High Certificate (STAM) examination is a Malaysian student’s eligibility to study in the Middle East. STAM was introduced in 2000 as a result of a Memorandum of Understanding Cultural Agreement between the Governments of Malaysia and the Arab Republic of Egypt in November 1999. But many STAM graduates who took the language test at the university had failed to get the level of qualification and had to take Arabic classes at the language center before pursuing studies at the undergraduate level. This study aims to identify the level of text reading in Arabic among STAM candidates and Arabic grammar skills. Therefore, the researchers aim of 52 students who is a STAM candidate to participate in this study. The approach used in this study is quantitative; wherein the information gathered is presented in the Figures. Data collection using a measurement tool based on the study of texts authored by Sheikh Yusuf al-Qaradawi containing 448 words. Comprehension and grammar skills tests were done for collecting data and then presented into numbers. The findings showed that the respondents' reading and grammar level are moderate. Therefore, it is recommended that students who will take the STAM are given proper guidance so that they can improve their Arabic language proficiency before pursuing studies at tertiary institutions.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.999

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 studies0.0030.002
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 head0.062
GPT teacher head0.354
Teacher spread0.292 · 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