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Record W2773641757 · doi:10.5539/elt.v11n1p150

The Primacy of Bilinguals and Trilinguals College Students’ Views on Reading and Language Learning

2017· article· en· W2773641757 on OpenAlexvenueno aff
Negmeldin Alsheikh

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMultilingualismNeuroscience of multilingualismImmediacyMetalinguistic awarenessReading (process)Meaning (existential)LinguisticsInteractionismReading comprehensionPedagogySociologyEpistemology

Abstract

fetched live from OpenAlex

This study aimed at understanding the essence of reading and language learning by bilinguals and trilinguals college students. The study is based on data from two separate yet related studies that were completed. The study used interviews as a qualitative means to glean the views of Arab bilinguals (n=10) and African trilinguals (n=3). The study is based on symbolic interactionism approach to incorporate a focus on intersubjective realities of bilinguals and trilinguals, openness to bilinguals and multilinguals’ experiences and a search for invariant indispensable meaning in their descriptions of their bilingualism and multilingualism. In a very important sense, this study attempted to get beyond the immediacy of an experienced world in order to articulate the pre-reflective level of lived-world of bilinguals and trilinguals. The preliminary results of this study revealed that both bilinguals and trilinguals viewed reading as an establish tool for gleaning meaning. On the other hand, trilinguals viewed language from a larger intersubjective scope where the shared common understandings through ongoing symbolic interaction with the others. The trilingual also assigned more spatial perspectives, more metalinguistic awareness of reading and languages learning than the bilinguals.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.005
Scholarly communication0.0050.002
Open science0.0000.004
Research integrity0.0010.002
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 head0.026
GPT teacher head0.326
Teacher spread0.300 · 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 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

Citations1
Published2017
Admission routes1
Has abstractyes

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