Identity Negotiation in Multilingual Contexts: A Narrative Inquiry into Experiences of an African Immigrant High School Student
Bibliographic record
Abstract
Background/Context Inclusion of African immigrant youth voices in educational and research discourses remains rare despite the steady growth of this population in the United States over the past four decades. Consequently, the multilingual abilities of these youth remain typically unnoticed or ignored in the classroom, and little is specifically known about their histories, cultures, expectations, and achievements. Purpose Using the narrative inquiry approach and the Natural, Institutional, Discursive, Affinity, Learner, and Solidarity (NIDALS) theoretical lens, we explore the lived experiences of one African immigrant high school student in the midwestern United States. Research Design Using narrative inquiry, we qualitatively explored the lived cultural, racial, and ethnic identities and self-images experienced by a Ghanaian-born female high school student, Akosua (pseudonym), as she navigated and resisted identities ascribed to her in the midwestern U.S. Findings The student's narratives speak to issues of culture, identity, and self-image, as well as her literate life in multiple languages and literacy contexts in and out of school. The findings reveal narratives of ascribed identities, racialization, and perceived language hierarchies in the participant's daily life and indicate a need to challenge such narratives about African immigrant students and disrupt the reproduction of linguistic and racial inequality in the school system. Recommendations While school systems do follow state-sanctioned linguistic norms and ideologies, when educators draw on students’ experiences and funds of knowledge as resources already in the room in order to find ways of negotiating and disrupting language hierarchies and the ascribed identities they support, it allows all students, including multilinguals, to have their identity affirmed, even in school systems that have historically marginalized them. This, in turn, supports educational achievement, broadly realized, not only psychologically for all students but also economically and nationally for the country—a critical accomplishment in an era when educational quality in the U.S. is losing ground to foreign achievements.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".