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Record W4323313610 · doi:10.1017/s014271642300005x

Transmitting white monolingual Anglo-American norms: A concept analysis of “quality of language” in parent-child interactions

2023· article· en· W4323313610 on OpenAlexaff
Andrea A. N. MacLeod, Catrine Demers

Bibliographic record

VenueApplied Psycholinguistics · 2023
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyTerminologyPremiseQuality (philosophy)Developmental psychologyVocabularyPovertyInclusion (mineral)Intervention (counseling)Social psychologyLinguisticsEpistemology

Abstract

fetched live from OpenAlex

Abstract White monolingual Anglo-American values permeate language acquisition research, which extends into public health and educational policies. “Quality of language” in parent-child interactions is often called upon to explain weaknesses in the language development of children who are racialized, experiencing poverty, or bilingual. Indeed, many early intervention approaches build on this premise by aiming to improve the “quality of language” used by parents. We aimed to understand the conceptualizations of “quality of language” in studies of parent-child interaction through the critical lens of Community Cultural Wealth Theory and perspectives from development research across cultures. We completed a Systematic Concept Analysis of articles published from 2010 to 2022 and focused on parent-child interactions in the home environment. Our search identified 972 articles and 78 met the inclusion criteria, but only 45 papers provided a definition. These definitions covered eight conceptualizations but only three were previously described. We also found inequity in the use of this terminology, which focused on children who were bilingual, had disability, or experiencing poverty. Informed by a critical lens, we recommend the use of four new terms to encompass “quality of language.” We also recommend refraining from using this term as it is value-laden, poorly defined, and diminishes culturally sustaining language transmission practices.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.128
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.438
Teacher spread0.376 · 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.

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

Citations16
Published2023
Admission routes1
Has abstractyes

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