Group membership and identity issues in second language learning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Language learning is inextricably linked to a social context, and this implies that context-related social variables, such as ethnicity or attitudes, can influence how language learning unfolds. Among the many group-engendered social factors, ethnic identity appears to have interesting consequences for language teaching and learning (Pavlenko & Blackledge 2004). Indeed, issues of personal and group identity often become important when individuals or groups come in contact with one another to learn a language. Briefly, ethnic identity refers to a person's subjective experience of being a part of an ethnic group (Ashmore, Deaux & McLaughlin-Volpe 2004). For second language (L2) learners, the two relevant groups are usually their primary (home) ethnic group and the L2 community. We report here on the research that we have been conducting at Concordia University in Montreal, as part of the Centre for the Study of Learning and Performance, with the goal of investigating the role of ethnic group identity in L2 learning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it