Fethiye’de Yaşayan İngilizlerin Türkçe Kullanımları ve Türkçeye Yönelik Tutumları
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In recent years, people from different countries have migrated to Turkey. They started \nto learn Turkish in order to get by which in turn has increased the number of bilinguals \nin Turkey. Langugae use and bilingualism have been studied in many respects in the \nUSA, Canada and Germany. However, the number of studies on language use and \nbilingualism in Turkey is very few when compared to these countries. \nAfter 2000, many English people started to live in Fethiye for different reasons. Those \npeople began to learn Turkish which resulted in the appearance of adult English-Turkish \nbilinguals in society. In this thesis, Turkish language use of adult bilinguals and their \nattitudes towards Turkish have been studied. Beforehand, 15 participants who were \nbelieved to serve the purpose of the study were determined and then they were \ninterviewed. In the interviews, those participants were asked questions about their \napproaches and attitudes towards Turkish. Interviews were recorded with a tape \nrecorder and then they were transcribed. \nIn this descriptive study, by taking the socio-linguistic variables into consideration it is \naimed to identify grammatical deviations of adult English bilinguals from standard \nTurkish, determine their approaches and attitudes towards Turkish and find out how the \ngathered data can serve to teaching of Turkish as a foreign language. \nAs a result of the analysis it was found out that the participants made phonological \nmorphological, lexical and syntactic copies from English.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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 it