A ‘Judicious’ Use of L1 in Tl Classroom: Socio-Political, Psychological and Functional Dimensions
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".