Learning Culture through Ethnographic Inquiry: A Response to Roumania Ilieva "Living with Ambiguity"
Bibliographic record
Abstract
In her article entitled "Living with Ambiguity: Toward Culture Exploration in Adult Second-Language Classrooms," Ilieva (2001) proposes taking a "culture exploration" approach in adult second language (L2) education.Underlying this approach is the view of language as social practice and of culture as fluid, interpretive, changing, lived, and internally diverse.It is, therefore, not the teaching of uncontested cultural facts that is promoted in this approach, but the process of joint exploration of, and critical reflection on, students' lived cross-cultural experiences.Briefly, in this approach students act as participant observers in and outside the classroom, share their ethnographic accounts with their classmates for joint reflection, identify any perceived problems, and collaboratively construct strategies to deal with the particular situations under discussion.Ilieva argues for the importance of students' agency in taking ownership of their experiences in the mainstream culture so as to act in the world effectively.I am very much in agreement with her advocacy stance.In this response article, I wish to expand on two issues that were touched on in the original article.First, what is involved in student ethnography and second, the complexity of our cultural lives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.072 | 0.102 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.032 | 0.043 |
| Scholarly communication | 0.021 | 0.021 |
| Open science | 0.007 | 0.029 |
| Research integrity | 0.022 | 0.030 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".