What and Who in the L2 Motivational Self System: The Interlinked Roles of Target Language and Heritage Learner Status
Bibliographic record
Abstract
Second language (L2) learning is widely acknowledged as complex due to variables such as learner, context, and target language. Such variables are particularly relevant to the learning of immigrant or indigenous languages in countries such as Canada, the United States, and New Zealand. The motivational roles of such variables are considered through a study of intergroup learner difference in 700 New Zealand university learners of foreign languages (FLs) and Māori. Learner groups were distinguished by target language and by whether they were heritage language (HL) learners of their L2. Groups differed on several L2 motivational self system (L2MSS) variables. Significant differences existed between learners of Māori and learners of FLs, and between HL and non-HL learners. Findings also indicated that the roles of target language and HL learner status were intertwined with regard to their impact on L2MSS variables.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".