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Record W2998680567 · doi:10.5539/ijel.v10n1p230

Practicing Language Therapy for Effective Simultaneous Bilingualism: Case Studies

2019· article· en· W2998680567 on OpenAlexvenueno aff
Fatima Zafar Baig, Muhammad Zammad Aslam, Tahir Yaseen, Hafiz Shabir Ahmad, Muhammed Murtaza, Muhammad Javid Abbas

Bibliographic record

VenueInternational Journal of English Linguistics · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNeuroscience of multilingualismMultilingualismPhenomenonDual languageNorm (philosophy)PsychologyLinguisticsDevelopmental psychologyMathematics educationPolitical sciencePedagogyEpistemology

Abstract

fetched live from OpenAlex

Bilingualism and multilingualism are not a typical phenomenon in this present world, rather, it is a norm in the world’s societies these days. People may happen to be bilingual either by acquiring two languages parallelly in their life since childhood or learn with the passage of time as sequential and simultaneous bilinguals. The current study aims to find out the role of language therapists, in terms of supporting parents and teachers, to benefit maximum out of this dual-language ability of their young children, for this case studies were conducted to investigate the question and it was concluded that balanced use of both languages help a child to perform well with proper guidance of language professionals to the parents and teachers. Furthermore, parents always seem trying their child become bilingual because they consider it a positive thing for the better future of their child. This age is the age of advanced technology and science in which new skills are required and demanded. Nowadays, in the whole world, different languages are being used in this technological progress, especially, the developed countries dominate in this field (technology) due to their advanced knowledge in different fields. Hence, the developed countries use their own language(s) in technology and inventions that make it essential to learn more languages. These case studies also depict how much it is advantageous or disadvantageous being bilingual or multilingual.

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)0.001
metaresearch head score (Gemma)0.096
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.096
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.388
Teacher spread0.369 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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