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
Though informed by theories of learning motivation in mainstream psychology, motivation research in second language acquisition has evolved somewhat independently to address the unique social, psychological, behavioral, and cultural complexities of acquiring a new communication code. Founded in the bilingual context of Canada in 1959, second language motivation research originated in a social‐psychological framework implicating attitudes and relations among linguistic communities, as crystallized in the concept of a language learner's integrative orientation towards speakers of the target language. In the 1990s, researchers began to bring this motivation research in line with cognitive theories of motivation in educational psychology, leading to a sharper focus on language learning in classroom settings. In the 21st century, the dominance of English as a global language has contributed to a conceptual reframing of language‐learning motivation in terms of self‐and‐identity goals, because learners may see themselves as aspiring members of the global community of English speakers. However, researchers also now recognize the need to pay more attention to the learning of languages other than English and to the learning of multiple languages. Another area of current thinking is the individual–contextual interactions shaping the development of language‐learning motivation, particularly drawing on complex dynamic systems perspectives.
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 | 0.000 | 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 | 0.000 |
| 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