An Ethnographic Case Study: Exploring an Adult ESL Learner’s BICS and CALP Proficiency Disparity
Bibliographic record
Abstract
This ethnographic case study investigated the disparity in an adult learner's second language (L2) proficiency between basic interpersonal communication skills (BICS) and cognitive academic language proficiency (CALP). The learner, well-educated in his first language (L1) Italian, demonstrated higher CALP but lower BICS in L2 English. Data collection spanned 15 weeks and included classroom observations, in-class artifacts, and semi-formal interviews. Two main factors were identified as contributing to the disparity: (1) unbalanced language exposure favoring CALP over BICS and (2) the positive transfer of CALP from L1 outweighing that of BICS. The study found that teacher instruction and learner's language engagement and investment increased exposure to grammar and literacy, thereby enhancing CALP development and facilitating CALP transfer from L1 to L2. However, limited exposure to interpersonal communication practices both inside and outside the classroom led to his underdeveloped BICS. Consequently, the unbalanced proficiency further influenced his second language acquisition. The learner's low BICS level resulted in negative self-positioning, increasing fear of interacting with English speakers and reducing opportunities to acquire the target language in natural interactive environments. Pedagogical implications are provided for adult EFL teaching, emphasizing balanced instruction and interactive and multilingual approaches. The research suggests future directions for supporting bi-/multilingual adults in developing balanced language proficiency and a positive language identity effectively.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".