Teaching Immigrants Norwegian Culture to Support Their Language Learning
Bibliographic record
Abstract
This study was conducted with 48 adult immigrant students studying Norwegian under basic education program of the Ski Municipality Adult Education Unit between 2009-2011. Using the framework of Genc and Bada (2005), we tried to replicate their study in new setting –Norway. The study investigated migrant students’ perceptions learning Norwegian culture and its effects on their learning of the Norwegian language. The participants responded to a set of questionnaire and one open-ended question adapted from Bada (2000) and Genc and Bada (2005). Descriptive statistics and qualitative analysis procedures were used to analyse the data. The results showed that teaching culture to immigrant students raised their cultural awareness of their own and the Norwegian society. It also improved both their language skills and attitudes to the Norwegian culture. The study revealed some similarity between the students’ views and the theoretical benefits of a culture class as argued by some experts in the field. The results provide some further evidence of the benefits of learning cultural content as an integral part of learning a new language.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".