Exploring the Impact of the Academic Interactions and Social Relations of Graduate Black African Students on their Learning Experiences in Beijing
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
Current data on international student has not particularly examined the experiences of the international African students in China. Furthermore, faced with a situation where the researcher encountered challenges as a student in China; I self-located in exploring the experiences of the African student in adapting to a new social and academic environment. A phenomenological research framework using semi-structured interviews was used to explore the social and academic experiences of 12 African Graduate students from three Universities in Beijing, China. Participants identified Chinese language as a major challenge, reported limited interaction with Chinese lecturers and discriminatory treatments during classroom dynamics. Added to these, there is much preference given to students from western countries. The study concludes by discussing the implication for practice and emphasizes the importance of universities acknowledging the cultural background of each other and incorporating perspectives of all students in a particular class to enhance student life experiences.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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