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Enregistrement W6968306578 · doi:10.5281/zenodo.14206119

PREreview of "Bilingualism Modulates Executive Function Development in Pre-School Aged Children: A Preliminary Study"

2024· peer-review· en· W6968306578 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2024
Typepeer-review
Langueen
DomaineNeuroscience
ThématiqueNeurobiology of Language and Bilingualism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeuroscience of multilingualismCLARITYCognitionFocus (optics)Cognitive developmentExecutive functionsFunction (biology)

Résumé

récupéré en direct d'OpenAlex

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/14206119. SUMMARY This paper examines the research of the effects of bilingualism with a focus on cognitive abilities and executive function. It presents a link between bilingualism and brain function and cognitive development. The authors cite the adaptive control method and demonstrate the impact of bilingualism on cognitive control and attentional processes. The paper's main focus is on the discussion of cognitive development and bilingualism in young children. The authors discuss how earlier research exhibits both a positive and negative relationship between the use of foreign language in households. The authors effectively argue that this initial research contained many flawed methodologies and cited later research that suggests a positive relationship between bilingualism and cognitive abilities. The authors also highlight gaps in this research such as socioeconomic status. Overall the introduction is well developed and provides clear rationale for the study as well as a review of previous research, but authors could improve by integrating the research question more explicitly in the introduction, allowing for more clarity on the paper's focus. The authors were able to clearly review the past literature and studies and discuss possible limitations and influences. Towards the end of the introduction, the authors state their focus on young bilingual children and the need for healthcare guidelines that reflect accurate research. Some aspects such as a clear focus of the research and what the authors are testing for would help clarify the purpose of the research. In end of paper, the authors discussed results well, utilizing good tools for collecting data (e.g. BRIEF-P), tying them back to the overall context of Bilingualism. While this was a good paper, there are still some improvements that could certainly be made. PROS The paper presented a transparent outline on the research design, including a thorough analysis of the data and highlighting the significance of the results in the context of EF (executive Function) in monolingual versus bilingual kids. The discussion session is well done, including only essential details. Results are easy to understand. Tests Used - > Optimal tests utilized, with sufficient justification Good Analysis -> Straightforward, mentioned majority of variables that were mentioned (e.g. t-score, BRIEF-P Scale Test scores) Good evidence for Intro -> Shows arguments from both sides over discussion regarding L2 Evidence-based study design-> Hebbian Learning WEAKNESSES Procedure Improvements: The Language Experience and Proficiency Questionnaire (LEAP) used in the study should be elaborated on, preferably including a detailed section in the form of a table that consists of the specific questions that were asked to the parents as well as the corresponding answers to justify the significance of this tool of measuring data. The 10-25% criteria of exposure to L2 for children to be classified as bilingual for the study seems to be justified by only one piece of evidence, so it is best to make a whole paragraph that centers around the justification of the criteria, including both pros and cons. Participants Improvements: The study included various lurking sample variables. These included uneven distributions within different age groups and higher proportion of boys than girls. These should be addressed in statistical analysis rather than just operational definition. Exclusion criteria are well defined and ethics board approval is clearly stated. In addition, for future research, try to expand sample size, as the participant base was from Alberta only. Method Improvements: The "grass and snow" test that is mentioned later in the measures section of the paper which seems to be a modified pictorial Stroop test and is not properly listed in the abstract section. Grammar issues: Procedure Grammer: Change 'samples' to 'sample' in "The bilingual sample recruited were primarily simultaneous" Change 'receive' to 'received' in "Children were categorized as bilingual if they receive at least 10-25% of exposure to L2" Change 'parena' to 'parents' in "household and community completed by the parena" Measures Grammer: Change 'body' to 'bodies' in "Mismatched body and heads were randomly selected" Change 'on' to 'an' in "they are encouraged to construct on object of their choice Discussion Grammar: Major citation errors are present in the discussion section. "Holmes et al., 2014" should be Holmes et al., 2015. Additionally, "Bialystok (2015)" should be Bialystok (2017). Section is relatively succinct and discusses the differences with Bialystok 2017. Change 'adaption' to 'adaptation' in "adaptive control hypothesis suggests an adaption in domain general processes of attentional control" Competing interests The authors declare that they have no competing interests.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,037
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,993
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,037
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0030,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,001
Science ouverte0,0020,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0240,009

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,050
Tête enseignante GPT0,306
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineÉvaluation
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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Même revueZenodo (CERN European Organization for Nuclear Research)→Même sujetNeurobiology of Language and Bilingualism→Travaux en français237 207→