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Record W4307866230 · doi:10.5430/wjel.v12n7p125

The Concept and the Scopes of Applied linguistics from the EFL Perspectives at Qassim University

2022· article· en· W4307866230 on OpenAlexvenueno aff
Abdulghani Eissa Tour Mohammed

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsApplied linguisticsLinguisticsText linguisticsScope (computer science)Graduate studentsComputer scienceClinical linguisticsCorpus linguisticsComputational linguisticsSystemic functional linguisticsSociologyMathematics educationPsychologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

The study aims at summarizing the concept and the scopes of Applied Linguistics as some EFL students may not precisely distinguish them when compared to several theoretical linguistics branches. Such a lack of awareness may influence their future trajectories in deciding the area of investigations and major as post-graduate students since the connection between Applied Linguistics and Linguistics, in general, is very close and has been a debatable issue for a couple of years even among professionals. Various heated discussion has appeared in several workshops during which the participants have focused on the concept of Applied Linguistics as well as on its connection to Linguistics. Accordingly, the controversial debates on the connection between Applied Linguistics and linguistics may not stop easily due to the overlapping areas of investigation and the limitation of scopes that the current study is attempting to identify. Effectively, interview questions were designed and answered by two different groups of participants who were enrolled during the summer term of the academic year 1443 – 1444 officially known as the term (433) at Qassim University to take two different linguistic courses normally taken by graduate students during the regular terms. Therefore, the researcher argues that teaching linguistics requires more practical examples that enable EFL students to be fully aware of the scope and the precise area of investigation of each linguistics field including Applied Linguists. Such awareness is a key factor on which students’ future trajectories of post-graduate studies will be based. Although all study subjects have taken the course of applied linguistics, their responses to the interview questions show some weaknesses in identifying its scopes or exactly determining them, compared to theoretical Linguistics.

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)0.012
metaresearch head score (Gemma)0.005
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 score0.012
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.023
Scholarly communication0.0090.007
Open science0.0010.005
Research integrity0.0020.003
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 head0.008
GPT teacher head0.195
Teacher spread0.188 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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