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Record W3124594080

A ‘Judicious’ Use of L1 in Tl Classroom: Socio-Political, Psychological and Functional Dimensions

2015· article· en· W3124594080 on OpenAlexaboutno aff
Muhammad Afzal Awan, Muhammad Aslam Sipra

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsStatus quoPoliticsContext (archaeology)Field (mathematics)Class (philosophy)PsychologySocial psychologyCognitive psychologyEpistemologySociologyPolitical scienceLawMathematicsHistory
DOInot available

Abstract

fetched live from OpenAlex

In the present study, the authors deliberate that there are no separate boxes in human brain to restrict two different languages to interact with each other. The practice on ground is strongly in favour of allowing L1 to support target language (TL). The paper contests the status quo of maximal input hypothesis and documents enough research in the field of human psychology, code-switching, bilingualism and Socio-Cultural Theory (SCT). The Canadian French Immersion Programme has also been referred to, in the article. The real life teaching and learning experiences have been shared and are connected to the latest theory and research, and it is concluded that this issue has serious sociopolitical and academic dimensions. The study postulates that the extent of L1 to be used is highly context-dependent. A ‘judicious’ use of L1 should, however, be practiced in target language (TL) class without malign.

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)0.005
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.074
GPT teacher head0.282
Teacher spread0.209 · 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
Published2015
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicSecond Language Learning and TeachingFrench-language works237,207