Exploring Language Anxiety Among Turkish Heritage Language Learners in Germany
Bibliographic record
Abstract
Summary Heritage language speakers may feel anxiety about using their heritage language in different settings due to monolingual ideologies, family attitudes, language proficiency, and many other factors. However, the experience of those enrolling in heritage language classes has yet to be known in detail. This study examined heritage language anxiety (HLA) toward speaking skills among Turkish heritage language learners (HLLs). A descriptive design was used to seek the HLA level and its relations with various variables such as the home language, communicative language with friends, self-perceived proficiency, age, gender, grade level, birthplaces of children and parents, age of acquisition (AoA), book-reading and movie-watching languages. Three hundred and three school-age bilingual Turkish children in Germany participated in the study. The results demonstrated that the HLA level of the target group was low. In addition, in-class HLA was significantly higher than out-of-class. Moreover, HLA levels significantly differed in terms of the father's birthplace, the communicative language with friends, self-perceived proficiency, and the movie-watching language. Despite evident differences regarding the book-reading language and birthplace of the mother, these were not statistically significant. Also, no relationship was observed between HLA and some variables: Age, grade level, and AoA. This initial study attempted to comprehend the complex patterns behind the language anxiety concept in the context of Turkish immigrants in Germany and heritage language education (HLE). In conclusion, interaction via heritage language (HL) and access to HLE may contribute to reducing HLA. However, paradoxically, while HLE may alleviate general HLA, it may cause more in-class anxiety due to sociocultural and pedagogical factors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".