The Relationship Between Being Exposed to Culture Through Social Media and the Willingness to Learn English
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
This study is an attempt to investigate the relationship between exposure to the native culture and the learners’ willingness to learn the language. The study follows a mixed-method methodology using a questionnaire with closed-ended items and open-ended questions. Responses to the questionnaire were collected from 54 female students at a public university in Saudi Arabia. In general, the questionnaire results are significant, and indicate that there is a relationship between exposure to the native culture and the learners’ willingness to learn the language. The main finding is that being exposed to a certain culture makes the learners more willing to learn the language of that culture. Moreover, the findings of the study indicate the importance of adopting social media networking to assist in the process of integrating culture into teaching English as a foreign language. Furthermore, based on the findings of this study, we encourage teachers to allocate as much time as possible to introducing cultural aspects in foreign language classrooms with the aid of social media.
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 | 0.004 | 0.034 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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