Foreign-Born Minorities and American Schooling: The African-Born Immigrant Adolescent's Plea
Bibliographic record
Abstract
In her presentation, Agyepong focused on her educational experiences from middle school through graduate school. She reflects upon the obstacles she encountered in the American educational system as a result of he Ghanaian nationality, early upbringing in Ghana, and her invisible status as an immigrant child from Africa. Considering herself lucky to have made it through school triumphantly amidst adversities, the presenter evaluates the experiences of African-born immigrant students through the lens of her own reminiscences of the tumultuous relationships she had with some teachers teachers, her peers and her own family members. She then proceeds to compare how her story reflects the story of the post 1980 African immigrant child, by exploring the similarities and differences between her experience and the experiences of contemporary African immigrant youths in Vancouver, Canada, and NYC. In the end, she came to the conclusion that these relationships, however shaky they might be, constitute the cornerstones on which an African immigrant's child's educational identity and attainment stand.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".