Identity and Agency in Primary Trilingual Children’s Multiple Cultural Worlds: Third Space and Heritage Languages
Bibliographic record
Abstract
Language is like a door, which enables you to learn the world. When you learn one language, you get to know one part of the world. When you learn other languages, you will get an opportunity to know other parts of the world (Interview with Mrs. Li, a Chinese immigrant parent in Montreal). The spatial dimensions of our lives has never been of greater practical or political relevance than it is today (Soja, 1996:1). The notion of traveling through space is integral to the unfolding of history and the development of the individual’s consciousness with regard to the past. The voyage over geographic space is an expanded metaphor for the process of one person’s coming to know who she is (Willis 1985:220). This paper contributes to an emerging body of qualitative/ethnographic research that seeks to develop textured understandings of the relationships between language learners, their socio-cultural
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".