Second language learning and identity: Cracking metaphors in ideological and poetic discourse in the third space
Bibliographic record
Abstract
This research study examines second language learning and identity construction through a hybrid design of case study and autoethnography. It argues for an elaborated understanding of the way that second language learners of English participate in the learning process in multiple contexts, in multiple discourses. From this perspective it considers the interdependence of language and identity in order to understand the experiences and difficulties of many second language learners. This research focuses on the identity struggles of Japanese women learning English as a second language from the perspective of sociocultural theory and critical theory in a postmodern stance. This framework allows me to consider how social identities are created discursively, how our conceptual metaphors function in Japanese and English, and how the process of participating in a new language and a new culture results in our living in neither culture but in hybrid spaces. Using autoethnography, I draw on my experiences as a Japanese woman learning English as a second language to understand what it means for a Japanese woman to be an English language learner as well as how English affects the identities of Japanese women. At the same time, the study also involves additional participants, namely three female Japanese students learning English in a Canadian University in Ontario. This hybrid design allows for a broader understanding of our everyday lives, languages, metaphors, and known and un-known selves as they take shape and transform. Using diary research, interviews and conversational group meetings, I examine how our individual and collective stories emerge. To do this I turn to four different discourse genres; narrative, haiku, metaphor and academic discourse. I choose to write narrative discourse to express our stories poetically. My decision to create was inspired by haiku, a genre that expresses my changing values and never-ending painful transformations. The untranslatable nature of language and this journey of women inspire haiku that emerges in a third space of the said and the unsaid. Finally, I turn to academic discourse to compose the meta-story of what I am doing and why, and to situate my identity and my research in a theoretical framework. The stories from the four of us contribute to a portrait of the tremendous ideological transformations involved in learning a second language. From the language of the research participants, we see how our conceptual system varies across cultures, implying multiple realities. This suggests that to promote cross-cultural understanding, we need to engage deeply with our experiences as they evoke the curriculum as lived.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".